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Data Science with Python Training Course in Bangalore

Data Science with Python Training Course in Bangalore
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Why enroll for Data Science with Python course in Bangalore?

pay scale by Edureka courseSince Python is Highly popular among MNCs, it is easy to find relevant job opportunities in Bangalore.
IndustriesPython is the future of AI and Machine Learning – Adrian Rosebrock, Author of 'Deep Learning for Computer Vision with Python'
Average Salary growth by Edureka courseAverage Salary of Python Developer in Bangalore is INR 16,00,000 per year- Glassdoor.

Data Science with Python Course in Bangalore Benefits

Data science job opportunities are projected to increase by 30% annually, and proficiency in Python programming and data science can unlock vast job prospects. The rise in demand for skilled data scientists and machine learning engineers has prompted more businesses to incorporate machine learning into their operations and help companies analyze and process data, leading to quick and effective decision-making. Obtaining a Data Science and ML Certification from Edureka is the optimal way to secure a lucrative job in this field.
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Why Data Science with Python course from edureka in Bangalore

Live Interactive Learning

Live Interactive Learning

  • World-Class Instructors
  • Expert-Led Mentoring Sessions
  • Instant doubt clearing
Lifetime Access

Lifetime Access

  • Course Access Never Expires
  • Free Access to Future Updates
  • Unlimited Access to Course Content
24x7 Support

24x7 Support

  • One-On-One Learning Assistance
  • Help Desk Support
  • Resolve Doubts in Real-time
Hands-On Project Based Learning

Hands-On Project Based Learning

  • Industry-Relevant Projects
  • Course Demo Dataset & Files
  • Quizzes & Assignments
Industry Recognised Certification

Industry Recognised Certification

  • Edureka Training Certificate
  • Graded Performance Certificate
  • Certificate of Completion

About your Data Science with Python course

Data Science with Python Skills

  • skillPython Programming
  • skillStatistical Foundations
  • skillData Analysis and Visualization
  • skillSupervised and Unsupervised Machine Learning
  • skillDatabase Integration with Python
  • skillData Visualization Using Tableau

Data Science with Python Tools

  • Python
  • Jupyter
  • Scikit-Learn
  • NumPy
  • Pandas
  • matplotlib
  • mongoDB

Data Science with Python Course Curriculum in Bangalore

Curriculum Designed by Experts

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Edureka's Data Science with Python Training in Bangalore will provide hands-on training in Python. We provide live instructor-led training sessions that can help you master the fundamentals of Python. In this Edureka's Data Science Python training in Bangalore, You will be taught the most fundamental principles of Python programming like Data Structure, data types, Strings, tuples lists, fundamental operations and functions, GUIs multi-threading, data Manipulation and Expressions, Networking Lambda expressions and more. Additionally, during the Data Science Python course, you will acquire a comprehensive understanding of Python concepts of OOPS and modules, Django framework, Database programming, and connectivity to many data sources.

Introduction to Data Science and ML using Python

16 Topics

Topics:

  • Overview of Python
  • The Companies using Python
  • Different Applications where Python is Used
  • Discuss Python Scripts on UNIX/Windows
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the Screen
  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life cycle of Data Science
  • Tools of Data Science

skillHands-on:

  • Creating “Hello World” code
  • Variables
  • Demonstrating Conditional Statements
  • Demonstrating Loops

skillSkills You will Learn:

  • Basics of Python Programming
  • Command Line Parameters and Flow Control in Python

Data Handling, Sequences and File Operations

12 Topics

Topics:

  • Data Analysis Pipeline
  • What is Data Extraction?
  • Types of Data
  • Raw and Processed Data
  • Data Wrangling
  • Python files I/O Functions
  • Numbers
  • Strings and related operations
  • Tuples and related operations
  • Lists and related operations
  • Dictionaries and related operations
  • Sets and related operations

skillHands-on:

  • Tuple - properties, related operations, compared with the list
  • List - properties, related operations
  • Dictionary - properties, related operations
  • Set - properties, related operations

skillSkills You will Learn:

  • Taking input from the user and performing operations on it
  • Data types in Python

Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions

13 Topics

Topics:

  • Functions
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values
  • Lambda Functions
  • Object Oriented Concepts
  • Standard Libraries
  • Modules Used in Python
  • The Import Statements
  • Module Search Path
  • Package Installation Ways
  • Errors and Exception Handling
  • Handling Multiple Exceptions

skillHands-on:

  • Lambda function in Python
  • Errors and Exceptions in Python
  • Packages and Modules in Python
  • Functions - Syntax, Arguments, Keyword Arguments, Return Values
  • Sorting - Sequences, Dictionaries, Limitations of Sorting

skillSkills You will Learn:

  • Object Oriented Concepts
  • Python Functions, Standard Libraries and Modules
  • Handling Exceptions in Python

Introduction to NumPy, Pandas, and Matplotlib

13 Topics

Topics:

  • Data Analysis
  • NumPy - arrays
  • Operations on arrays
  • Indexing, slicing, and iterating
  • Reading and writing arrays on files
  • Pandas - data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas
  • Metadata for imported Datasets
  • Matplotlib library
  • Grids, axes, plots
  • Markers, colors, fonts, and styling
  • Types of plots - bar graphs, pie charts, histograms
  • Contour plots

skillHands-on:

  • NumPy library - Creating NumPy array, operations performed on NumPy array
  • Pandas library - Creating series and data frames, Importing and exporting data
  • Matplotlib library - Using Scatterplot, histogram, bar graph, a pie chart to show information, Styling of Plot

skillSkills You will Learn:

  • Basic Functionalities of the NumPy library in Python
  • Basic Functionalities of the Pandas library in Python
  • Basic Functionalities of the Matplotlib library in Python

Data Manipulation

5 Topics

Topics:

  • Basic Functionalities of a data object
  • Merging of Data objects
  • Concatenation of data objects
  • Types of Joins on data objects
  • Exploring and analyzing datasets
  • Analysing a dataset

skillHands-on:

  • Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining

skillSkills You will Learn:

  • Performing data manipulation using various functionalities of the Pandas library in Python

Introduction to Machine Learning with Python

6 Topics

Topics:

  • What is Machine Learning?
  • Machine Learning Use-Cases
  • Machine Learning Process Flow
  • Machine Learning Categories
  • Linear regression
  • Gradient descent

skillHands-on:

  • Linear Regression – Boston Dataset

skillSkills You will Learn:

  • Machine Learning concepts
  • Machine Learning types
  • Linear Regression Implementation

Supervised Learning - I

6 Topics

Topics:

  • What are Classification and its use cases?
  • What is a Decision Tree?
  • Algorithm for Decision Tree Induction
  • Creating a Perfect Decision Tree
  • Confusion Matrix
  • What is Random Forest?

skillHands-on:

  • Implementation of Logistic Regression, Decision Tree, Random Forest algorithms

skillSkills You will Learn:

  • Supervised Learning concepts
  • Implementing various Supervised Learning algorithms
  • Evaluating model output

Dimensionality Reduction

6 Topics

Topics:

  • Introduction to Dimensionality
  • Why Dimensionality Reduction
  • PCA
  • Factor Analysis
  • Scaling dimensional model
  • LDA

skillHands-on:

  • Implementing PCA
  • Scaling dimensional model
  • Implementing LDA

skillSkills You will Learn:

  • Implementing Dimensionality Reduction Technique

Supervised Learning - II

8 Topics

Topics:

  • What is Naïve Bayes?
  • How Naïve Bayes works?
  • Implementing Naïve Bayes Classifier
  • What is a Support Vector Machine?
  • Illustrate how Support Vector Machine works
  • Hyperparameter Optimization
  • Grid Search vs. Random Search
  • Implementation of Support Vector Machine for Classification

skillHands-on:

  • Implementation of Naïve Bayes, SVM algorithms

skillSkills You will Learn:

  • Supervised Learning concepts
  • Implementing various Supervised Learning algorithms
  • Evaluating model output

Unsupervised Learning

7 Topics

Topics:

  • What is Clustering & its Use Cases?
  • What is K-means Clustering?
  • How does the K-means algorithm works?
  • How to do optimal clustering
  • What is C-means Clustering?
  • What is Hierarchical Clustering?
  • How does Hierarchical Clustering work?

skillHands-on:

  • Implementing K-means Clustering
  • Implementing Hierarchical Clustering

skillSkills You will Learn:

  • Unsupervised Learning concepts
  • Implementation of various Clustering techniques

Association Rules Mining and Recommendation Systems

7 Topics

Topics:

  • What are Association Rules?
  • Association Rule Parameters
  • Calculating Association Rule Parameters
  • Recommendation Engines
  • How do Recommendation Engines work?
  • Collaborative Filtering
  • Content-Based Filtering

skillHands-on:

  • Implementing Apriori Algorithm
  • Performing Market Basket Analysis

skillSkills You will Learn:

  • Data Mining using Python
  • Recommender Systems using Python

Reinforcement Learning (Self-Paced)

9 Topics

Topics:

  • What is Reinforcement Learning?
  • Why Reinforcement Learning?
  • Elements of Reinforcement Learning
  • Exploration vs. Exploitation dilemma
  • Epsilon Greedy Algorithm
  • Markov Decision Process (MDP)
  • Q values and V values
  • Q – Learning
  • Values

skillHands-on:

  • Calculating Reward
  • Discounted Reward
  • Calculating Optimal quantities
  • Implementing Q Learning
  • Setting up an Optimal Action

skillSkills You will Learn:

  • Implementing Reinforcement Learning using Python
  • Developing Q Learning model in Python

Time Series Analysis (Self-Paced)

10 Topics

Topics:

  • What is Time Series Analysis?
  • Importance of TSA
  • Components of TSA
  • White Noise
  • AR model
  • MA model
  • ARMA model
  • ARIMA model
  • Stationarity
  • ACF & PACF

skillHands-on:

  • Checking Stationarity
  • Converting non-stationary data to stationary
  • Implementing Dickey-Fuller Test
  • Plotting ACF and PACF
  • Generating the ARIMA plot

skillSkills You will Learn:

  • TSA Forecasting in Python

Model Selection and Boosting

7 Topics

Topics:

  • What is Model Selection?
  • Need for Model Selection
  • Cross Validation
  • What is Boosting?
  • How do Boosting Algorithms work?
  • Types of Boosting Algorithms
  • Adaptive Boosting

skillHands-on:

  • Performing Cross Validation
  • Implementing AdaBoost using Python

skillSkills You will Learn:

  • Performing Model Selection
  • Boosting algorithms using Python

Statistical Foundations (Self-Paced)

8 Topics

Topics:

  • What is Exploratory Data Analysis?
  • EDA Techniques
  • EDA Classification
  • Univariate Non-graphical EDA
  • Univariate Graphical EDA
  • Multivariate Non-graphical EDA
  • Multivariate Graphical EDA
  • Heat Maps

skillHands-on:

  • Implementing Graphical EDA Techniques
  • Implementing Non-Graphical EDA Techniques

skillSkills You will Learn:

  • Performing EDA on the dataset(s) in Python

Database Integration with Python (Self-Paced)

22 Topics

Topics:

  • Basics of database management
  • Python MySql
  • Create database
  • Create a table
  • Insert into table
  • Select query
  • Where clause
  • OrderBy clause
  • Delete query
  • Drop table
  • Update query
  • Limit clause
  • Join and Self-Join
  • MongoDB (Unstructured)
  • Insert_one query
  • Insert_many query
  • Update_one query
  • Update_many query
  • Create_index query
  • Drop_index query
  • Delete and drop collections
  • Limit query

skillHands-on:

  • CRUD operations using Python MySql and MongoDB

skillSkills You will Learn:

  • Database management systems
  • Database Integration with Python
  • Working of database applications

Data Connection and Visualization in Tableau (Self-Paced)

9 Topics

Topics:

  • Data Visualization
  • Business Intelligence tools
  • VizQL Technology
  • Connect to data from the File
  • Connect to data from the Database
  • Basic Charts
  • Chart Operations
  • Combining Data
  • Calculations

skillHands-on:

  • Connecting to data from File, Database, and Server
  • Performing operations on Hierarchies, Data Granularity and Highlighting feature
  • Creating calculated fields using basic functions
  • Defining LOD expressions
  • Creating Parameters
  • Performing User Input and What-if analysis

skillSkills You will Learn:

  • Data Distribution using various charts in Tableau
  • Combining Data using Joins, Unions and Data Blending
  • Sorting, Filtering and Grouping Techniques
  • Table Calculations in Tableau

Advanced Visualizations (Self-Paced)

10 Topics

Topics:

  • Trend lines
  • Reference lines
  • Forecasting
  • Clustering
  • Geographic Maps
  • Using charts effectively
  • Dashboards
  • Story Points
  • Visual best practices
  • Publish to Tableau Online

skillHands-on:

  • Analyzing data using techniques including Forecasting, Trend Lines, Reference Lines, Clustering, and Geographic Maps
  • Building Dashboard Layout and Formatting
  • Building Story points

skillSkills You will Learn:

  • Advanced visualization techniques in Tableau
  • Building Dashboards and Stories in Tableau

In-Class Project (Self-Paced)

1 Topics

Topics:

  • Predict the species of Plant

skillHands-on:

  • Analyze the data
  • Predict the plant species

skillSkills You will Learn:

  • Data Pre-processing
  • Feature Engineering
  • Implementation of Machine Learning Algorithm

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Data Science with Python Training Course in Bangalore Description

Edureka offers comprehensive Data Science with Python training in Bangalore to help you understand the fundamentals of concepts such as writing sequences, scripts, and file-related procedures in Python while also gaining knowledge of functional applications. Data Science with Python training in Bangalore is combined with live tasks and hands-on projects. Python is a popular open-source, high-level programming language that covers a wide range of games and web applications that deal with automation, big data, data science, and the field of information analytics development. It's a powerful, versatile object-oriented, interpreted, and object-oriented language you'll master during the Data Science with Python course in Bangalore.

About the Data Science with Python Course in Bangalore

Edureka's Data Science with Python Training is not just focused on the fundamentals of Statistics and Machine Learning but can also help one develop knowledge in practical Data Science at scale using Python. Its Data Science with Python Training course is a step-by-procedure guide to Python and Data Science with extensive hands-on. This Python Data Science course in Bangalore is full of activities, tasks, and scenarios that will help you understand how to tackle problems in predictive modeling that need Machine Learning using Python. Beginning with the basic concepts of Statistics like median, mean, and mode, you will be able to explore features like Data Analysis Regression and Classification, Clustering, Naive Bayes Cross-Validation, Label Encoding as well as Random Forests and Decision Trees as well as Support Vector Machines with an accompanying example and exercise to help you dive deep into the details.

    In addition, In this Data Science with Python Certification course in Bangalore, you will learn Reinforcement Learning. This is a crucial aspect of Artificial Intelligence. It will allow you to teach your Machine using real-world scenarios to train Machine Learning Algorithms. Edureka's Course in Python for Data Science in Bangalore will provide both advanced and basic concepts such as writing Python sequences, scripts, and file operations. You will use libraries such as numpy, pandas and scikit, matplotlib, and master concepts such as scripts, machine learning, and sequence.

      Which are the prerequisites for Data Science with Python Training in Bangalore?

      Edureka's Python for Data Science course in Bangalore prerequisites include fundamental knowledge of Computer Programming Languages. Basics of Data Analysis practiced over any tools for data analysis like SAS/R is an advantage. But, you will receive the complimentary "Python statistics for data science" as a self-paced course after enrolling in The Data Science with Python certification course in Bangalore.

        What are the goals for the Data Science with Python Training in Bangalore we offer?

        Upon completion of Data Science using Python Certification course, You will be capable of:

        • Programmatically download and analyze data
        • Learn to manage various types of data: ordinal, categorical, and encoding
        • Learn data visualization
        • With python notebooks, know how to present step-by-stage data analysis
        • Get a better understanding of the roles performed by a Machine Learning Engineer
        • Define Machine Learning
        • Use real-time data
        • Learn about tools and methods for modeling predictively.
        • Talk about the Machine Learning algorithms and their application
        • Verify Machine Learning algorithms
        • Perform the following tasks: Text Mining as well as Sentimental Analysis
        • Let us explain Time Series and its related concepts
        • Learn how to manage your business in the future while living the present

        Edureka provides the most effective online Course to learn Python Data Science. Sign up now for our Data Science with  Python training and have the opportunity to learn from industrial giants.


          What are the objectives of our Data Science with Python Training in Bangalore?

          After completing this Data Science with Python Certification course in Bangalore, you will be able to:
          • Programmatically download and analyze data
          • Learn techniques to deal with different types of data – ordinal, categorical, encoding
          • Learn data visualization
          • Using python notebooks, master the art of presenting step-by-step data analysis
          • Gain insight into the 'Roles' played by a Machine Learning Engineer
          • Describe Machine Learning
          • Work with real-time data
          • Learn tools and techniques for predictive modeling
          • Discuss Machine Learning algorithms and their implementation
          • Validate Machine Learning algorithms
          • Explain Time Series and its related concepts
          • Perform Text Mining and Sentiment analysis

          Edureka offers the best online course for Python data science and ML. Enroll now in our Data Science with Python training and get a chance to learn from industry leaders.

            What is the reason to learn Python for Data Science in Bangalore?

            Python is one of the most popular flexible, powerful, and flexible open-source languages that is simple to master, simple to use, and comes with a robust library for the analysis of data and data manipulation. For more than a decade, it has been employed in scientific computing and other highly quantitative areas like oil and gas, finance, physics, and signal processing. It's remained the preferred choice by data scientists who employ it to create and run machine learning programs and other computational Science. Python reduces development time by half thanks to its easy-to-understand syntax and easy compilation. Debugging programs is easy with Python, thanks to its built-in debugger. It's become the preferred language to use for Data Analytics. The increasing searches also suggest that it's the Next Big thing and an absolute essential for professionals working in Data Analytics domain.

              Who can take the Python Data Science course in Bangalore?

              Edureka's Course is an ideal course for those below the level of professionals:

              • Developers, Programmers, Technical Leads, Architects
              • Developers who want to become an engineer in machine learning
              • Analytics Managers who manage the team of analysts
              • Business Analysts who are looking to be able to comprehend Machine
              • Learning (ML) Techniques
              • Information Architects who want to acquire expertise in
              • Predictive Analytics
              • Professionals who wish to create automated predictive models

                What is the Data Science with Python Course in Bangalore fee?

                The Data Science with Python Course fee is INR 18695

                  How will I execute the practicals in this online Data Science with Python course in Bangalore?

                  You will do your assignments and case studies using Jupyter Notebook, which is already installed on your Cloud LAB environment (access it from a browser). The access credentials are available on your LMS. Should you have any queries, the 24*7 Support Team will promptly assist you.

                    Data Science with Python Course in Bangalore Projects

                    certification projects

                    Industry: Automobile

                    Riding the digital wave, India's used car market is set to grow at a compounded annual growth of 11% and likely to touch sales of up to 8.3 million units by FY26 as more people h....
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                    certification projects

                    Industry: Healthcare

                    Heart Disease is among the most prevalent chronic diseases in the United States, impacting millions of Americans each year and exerting a significant financial burden on the econ....
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                    Data Science with Python Certification in Bangalore

                    You need to complete the modules successfully to earn a Joint Co-Branded Certificate of Participation by NASSCOM FutureSkills Prime and Edureka. On completing the course, the Learner is eligible for Government of India (GOI) incentives after successfully clearing the mandatory NASSCOM Assessment for which the learner will be awarded a NASSCOM certification. For more details please visit: https://futureskillsPrime.in/govt-of-India-incentives
                    A skilling ecosystem focused on emerging technologies, powered by a partnership between the Ministry of Electronics and Information Technology, the Government of India, NASSCOM, and the IT industry. It seeks to propel India to become a global hub of talent in emerging technologies. FutureSkills Prime is one of the lighthouse schemes under the Government’s Trillion Dollar Digital Economy initiative.

                    • First of its kind government and industry partnership to drive a national skilling ecosystem for digital technologies. 

                    • End-to-end skilling from assessment to certification. 

                    • Affordable, credible content handpicked by industry leaders. 

                    • Speed up learning with bite-sized course modules. 

                    • Certifications recognized by the industry.

                    GoI Incentive can be claimed by all Indian Nationals above 18 years of age. The current programme covers beneficiaries divided into the following broad categories: 


                    • IT employees in IT Firms and Non-IT firms

                    • Non-IT employees aspiring to use new and emerging technologies in their respective domains

                    • Employees whose skills for a particular job have become outdated.

                    • Central Govt. & State Govt. Employees including employees of PSUs & Autonomous bodies (Govt. Employees)

                    • Fresh Recruits who are yet to take up a job, as well as undergoing/selected for internship & Apprenticeship roles in IT/ ITeS

                    Mapping Your journey in 8 steps:

                    • Enrolment in the Edureka portal

                    • Successful completion of course modules

                    • Quizzes, assignments, and certificate project submission

                    • Assignment and project evaluation by Edureka 

                    • Joint co-branded certificate of participation from NASSCOM and Edureka

                    • Sign up on the FutureSkills Prime platform for mandatory FutureSkills Prime assessment

                    • SSC Certificate issuance by Futureskills Prime on successful completion

                    Avail for GOI incentives upon successful completion of FutureSkills Prime assessment
                    Yes, we offer a practice test in the Data Science with Python course in Bangalore to help you prepare for job interviews.
                    You do not need a coding background to enroll in this Data Science with Python course in Bangalore. The course begins with beginner modules in which we cover the fundamentals of Python coding. In fact, you do not need prior knowledge in Data Science and Machine Learning either. All relevant topics are a part of this course from scratch.
                    Right after the completion of this Data Science with Python course in Bangalore, you will obtain a certificate and will be eligible to apply for junior or associate data scientist jobs. After gaining some work experience, you can become a Senior Data Scientist or Machine Learning Engineer. This Edureka online course offers you the opportunity to connect with expert industry instructors to guide you through your desired career path.
                    Please visit the page which will guide you through the top 100+ Data Science Interview Questions with answers.
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                    Data Science with Python Training Course in Bangalore FAQs

                    What exactly is Data Science with Python?

                    Data is everywhere, and data science is a great way to extract data. Data science with Python Training in Bangalore has numerous applications, and Python is utilized to create these applications. Python is a universal language, which means it can create sites, backend APIs, and scripting. Python's libraries, frameworks, and tools can be employed to perform a variety of operations in data science.

                    What is Python for Data Science?

                    Data is all around us, and data science will help extract the information. Data science has many applications, and python can be used to implement them. Python is a generic language that can be used to build websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to perform various operations in data science.

                    Why should I learn Data Science with Python Course in Bangalore?

                    Python is among the top used languages used in Data Science, which can be utilized for data analysis, manipulation, and visualization. It can access many Data Science libraries, making it the ideal tool for creating applications and algorithms.

                    Why should I learn Data Science with Python Course in Bangalore?

                    Python is definitely one of the most popular languages in Data Science, which can be used for data analysis, manipulation, and visualization. It has access to many Data Science libraries, making it the perfect language for developing applications and implementing algorithms.

                    Where can I get a Data Science with Python Course in Bangalore?

                    While there are a lot of free online learning resources, it is advised to select one that can teach data science well. It is essential to choose an online platform that can interactively teach students and has the right curriculum to guide you on your journey through data science. Edureka is one of these platforms because we offer the top online Python course with data science in Bangalore. We will help you progress from beginner to data analyst using Python and data scientist.

                    Where Can I Learn Python for Data Science?

                    Although many free learning resources are available, finding one that teaches data science very well is recommended. You should choose a platform that will teach you interactively and has a curriculum designed to help you along your data science journey. Edureka is one such platform as we offer the best online Data Science with Python course for data science that will take you from beginner to data analyst in Python or data scientist.

                    Can I take a Python for Data Science course in Bangalore?

                    The advancement of technology has helped make it much easier and more efficient to study online. You can take your time learning without any limitations. Edureka's Data Science with Python course in Bangalore includes live instruction and online access to learning materials. You'll be able to master the essential concepts quickly thanks to our vast and ever-growing assortment of blog tutorials and YouTube tutorials. We offer a 24/7 assistance service to help you with any questions after the class has ended.

                    Can I learn a Python for Data Science online?

                    Technology has made it easier and more efficient to learn online. It allows you to learn at your own pace without any barriers. Edureka's Data Science with Python certification course offers live classes and online access to study material from any location at any time. You will be able to grasp the key concepts quickly with our extensive and growing collection of tutorials, blogs, and YouTube videos. We offer a 24/7 support service to answer any questions you may have after your class ends.

                    Who are the instructors for the Data Science with Python Course in Bangalore?

                    The instructors at Edureka are industry professionals that have at least 10-12 years of relevant IT knowledge. These are experts in their field and have been educated by Edureka to offer a fantastic learning experience for students in Python Data Science Training in Bangalore.

                    Who are the instructors for the Python Data Science Course in Bangalore?

                    All the instructors at edureka! are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants of Python Data Science Training in Bangalore.

                    What is the time frame to master Python for Data Science?

                    It could take between 5 to10 weeks to master the basic Python techniques, such as the object-oriented programming model and the basic Python syntax. It is crucial to remember that the time needed to master Python programming is contingent on your experience with web development, data science, and related areas.


                    What happens if I have further questions regarding Data Science with Python course?

                    Give us a call at +91 98702 76459/1844 6365 (US Toll-Free number) OR email at sales@edureka.co

                    What is the Data Science with Python Course in Bangalore duration?

                    Data Science with Python Course in Bangalore can take between five and 10 weeks to learn basic Python programming concepts, including object-oriented programming and basic Python syntax. It is important to note that the time it takes for Python programming depends on your experience with web development, data science, and other related fields.

                    What is the reason it is important to study Data Science with Python course in Bangalore?

                    Python is the preferred language of data scientists over other languages since it comes with powerful machine learning tools to develop the most powerful machine-learning algorithms. This gives a greater understanding of the current performance without sacrificing the performance of your current system. These powerful frameworks permit data scientists to build the best neural networks. Python is the base for Google, YouTube, and Instagram. It allows for many tasks to become automated and the application to be used in various languages. The code is easy to use and well-documented. A lot of organizations aren't using a data-centric strategy. The market is not equipped with data literacy. To make up for this lack of demand, you'll have to learn about the field of data science and its associated areas through Data science with python training in Bangalore.

                    What type of job will I get after completing the Data Science with Python course in Bangalore?


                    It is a field with plenty of opportunities, and once you've got the necessary education and experience, jobs are waiting for you. To mention a few of the most popular jobs for data scientists are:

                     

                    • Business Intelligence Analyst
                    • Data Mining Engineer
                    • Data Architect
                    • Data Scientist
                    • Senior Data Scientist

                    What are the ways Data Scientists use Python in everyday tasks?

                    Data scientists carry out a wide variety of tasks during their working day. They collect the data , then analyze it to discover the patterns or trends. To ease the burden of data, they develop or test algorithms. These tasks can be accomplished with Python as well as other tools.

                    Why is it essential to learn Data Science with Python course in Bangalore?

                    Python is preferred by data scientists over other languages because it has powerful machine learning libraries that can be used to build any machine learning algorithm. This allows for a better understanding of the current performance without sacrificing existing performance. These powerful frameworks allow data scientists to create the right neural networks. Python is the foundation of Google, YouTube and Instagram. It allows for multiple tasks to be automated and the use of these applications in various languages. The code is simple and well-documented. Many organizations are still not adopting a data-centric approach. The market lacks data literacy. To fill this gap in supply, you will need to study data science and its underlying areas by taking python data science training.

                    Does Edureka offer a free learning source to help you learn Data Science with Python course in Bangalore?

                    If you're looking for free Python and Data Science resources, read our blog posts about Data Science tutorials and Data Science Interview Questions.

                    What is the consequence if I fail to attend the class?


                    There is no way to miss a lecture At Edureka! You can pick one of the following choices:

                    • Access the recorded sessions of the class in your LMS.
                    • You can still attend the session or any other live session.

                    Can I get help with placement following Data Science with Python Training?

                    To aid you with this task to help you succeed, we've added an online resume builder tool to your LMS. You will now be able to create your winning resume in three simple steps. You'll be able to use these templates for various roles and positions. All you have to do is log into your LMS and click the "create your resume " option.

                    Which are alternatives to the Data Science course offered by Edureka aside from this Course?


                    The other Data Science course offered by Edureka include:

                    Can I attend a demo session before registering?

                    There is a limit to the number of participants for an actual Data Science with Python course session in Bangalore to keep our Quality Standards. Therefore, taking part in live classes without registering is not feasible. But, you can look through the recorded sample of the class and get an idea of how classes are run, the quality of the instructors, and the amount of interaction during the class.

                    Does Python help in Data Science?

                    Python comes with various included libraries, tools, and tools that can accomplish various functions in data science. The syntax of Python is simpler than other languages, such as Scala and R. It's an instrument for data science that lets you explore the data science concepts effectively. This makes it a very skilled language, and it is an ideal choice for those working in those working in the Data Science Field.

                    What type of job can I get after completing a Data Science with Python course in Bangalore?

                    This is an industry where opportunities are plenty, so once you have the education and qualifications, the jobs are waiting for you. To name a few, some of the most common job titles for data scientists include:

                    • Business Intelligence Analyst
                    • Data Mining Engineer
                    • Data Architect
                    • Data Scientist
                    • Senior Data Scientist

                    Is R superior to Python for Data Science?

                    TIOBE, Stack Overflow, and RedMonk reveal that Python is the most well-known programming language within the larger tech-related community. It doesn't mean that it is more efficient, but it does suggest that it's more popular and has a greater community of assistance and development.

                    What can Python employ to help in Data Science?

                    Python has been the most popular language in data science because of its compatibility and simple syntax. It is possible to learn it even without an engineering or science background. The flexibility and ease of grasp make Python the most sought-after skill that large companies search for in data science professionals.

                    What are the other Data Science courses offered by Edureka apart from this Course?

                    Other Data Science courses offered by Edureka are:

                    What do I get when I've signed into the Data Science with Python Certification Course?

                    It is possible to take all of the Specialization courses after registering for the Course. After you've completed the course, you'll receive an official certificate that will be added to your page of accomplishments. You can then print it and upload your certificate on LinkedIn. You can read and view the course contents at no cost if you don't wish to pay for it.

                    What are companies likely to hire me when I become a Python for Data Science professional?


                    The field of data science has expanded an enormous amount in the last few years. Businesses across all industries are working to establish an expert team in data science to help them utilize their data to help the advancement of their business.

                    Here's a list of the top companies currently hiring data scientists.

                    1. Sigmoid
                    2. Mindtree
                    3. LinkedIn
                    4. Paypal
                    5. Oracle
                    6. TCS
                    7. ZIGRAM

                    What is the Average Salary for Data Scientists with Python Course in Bangalore?

                    According to Glassdoor, The average salary for a Data Scientist is ₹12,00,000 per year in the Bangalore Area.

                    What is the cost of Data Science with Python Course in Bangalore?

                    The cost of Data Science with Python Course in Bangalore is Rs. 19,795/-.

                    Can Edureka provide a Data science with python training course near me in Bangalore?

                    Data science with python training courses in Bangalore can be accessed from Jayanagar, Koramangala, Malleshwaram, Rajaji Nagar, Frazer Town, Sadashivanagar, HSR Layout, Bellandur, and anywhere else. You'll have unlimited access to our online training from your work or home on any day.

                    Which companies will hire me once I become a Python for Data Science professional in Bangalore?

                    Data science has grown by a substantial extent today. Companies in almost every industry are trying to have a data science team to help them use their data for the company’s progress.

                    Here, we have compiled a list of reputed companies that are currently hiring data scientists. 

                    1. Sigmoid
                    2. Mindtree
                    3. LinkedIn
                    4. Paypal
                    5. Oracle
                    6. TCS
                    7. ZIGRAM

                    What is the Average Salary of Data scientists in Bangalore?

                    The average salary for a data scientist in Bangalore ranged from INR 6 lakhs per annum for entry-level positions to INR 20 lakhs per annum for mid-level positions. Highly experienced data scientists with significant expertise and several years of experience could earn salaries upwards of INR 30 lakhs per annum or more.
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