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Instructor-led PwC Data Analytics using Python live online Training Schedule
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Why enroll for Advanced Python for Data Analytics by PwC Academy?
Advanced Python for Data Analytics by PwC Academy Training Benefits
The global Python market is projected to surpass USD 100.6 million by 2030, with a CAGR of 44.8%. Our Advanced Python for Data Analytics by PwC Academy course will help learners with the essential skills to thrive in this rapidly growing field and advance their careers.
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Why Advanced Python for Data Analytics by PwC Academy from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Master Class by PwC's Academy in India
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-on-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-on Project-based Learning
- Industry-Relevant Use Cases
- Course Demo Files
- Assignments
Industry-Recognised Certification
- Joint Certification
- Graded Performance Certificate
- Certificate of Completion
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About your Advanced Python for Data Analytics by PwC Academy
Skills Covered
Tools Covered
Advanced Python for Data Analytics by PwC Academy Curriculum
Curriculum Designed by Experts
Python Programming and Error Handling
12 Topics
Topics
- User Input & File I/O
- Lists, Tuples, Strings
- Sets & Dictionaries
- Functions & Arguments
- Global Variables & Lambda
- OOP Concepts & Inheritance
- Constructors & Destructors
- Method Overloading & Overriding
- Modules & Imports
- Standard Libraries (Sys, OS, JSON)
- Regular Expressions
- Exception Handling
![skill]( "Hands On Experience")
- Account Management System with Saving and Current Accounts in Python
- Implementing Reward Points and Interest Calculation for Bank Accounts
- File Handling and Modular Utilities for Banking Operations
- Validations and Exception Handling in Python for Banking Systems
![skill]( "skill you will learn")
- Object-Oriented Programming (OOP) in Python
- File I/O and Modular Programming
- Exception Handling and Input Validation
Data Analysis and Visualization with Python
10 Topics
Topics
- Pandas Overview & Data Structures
- Series & DataFrames
- Importing/Exporting Files
- Data Merging & Joins
- Data Cleaning & Exploration
- Pivoting & Concatenation
- NumPy Arrays & Operations
- Indexing & Slicing
- Matrix Operations & Functions
- NumPy File Handling
![skill]( "Hands On Experience")
- Analyzing Retail Sales Data Using Pandas and NumPy
- Merging Product Information and Analyzing Sales Trends
- Pivoting Data and Statistical Analysis of Sales Performance
- Visualizing Sales Trends with Matplotlib and Seaborn
![skill]( "skill you will learn")
- Data Manipulation with Pandas and NumPy
- Data Cleaning and Exploration
- Data Visualization with Matplotlib and Seaborn
Web Scraping & Computer Vision Techniques
8 Topics
Topics
- Web Scraping with Beautiful Soup
- Automating Data Extraction using Scrapy
- Web Requests and Interactions with Python
- Extracting Hyperlinks from Web Pages
- Data Visualization using Bokeh
- Practical Image Editing Techniques with OpenCV
- Real-Time Face Detection using OpenCV
- Motion Tracking and Video Capture with OpenCV
![skill]( "Hands On Experience")
- Scraping All Hyperlinks from a Webpage
- Plotting Hyperlink Data Using Bokeh
- Plotting a Scatterplot Using Bokeh
- Image Editing Using OpenCV
![skill]( "skill you will learn")
- Web Scraping Automation with Beautiful Soup and Scrapy
- Computer Vision with OpenCV
- Interactive Data Visualization with Bokeh
Database Integration with Python
12 Topics
Topics
- Basics of Database Management
- Python MySQL Integration
- Creating Databases and Tables
- Inserting Data into Tables
- Querying Data with SELECT and WHERE
- Sorting Data using ORDER BY
- Updating and Deleting Records
- Joining Tables (JOIN and SELF JOIN)
- MongoDB Overview and Setup
- Inserting Data in MongoDB (insert_one and insert_many)
- Updating and Deleting Documents in MongoDB
- Indexing and Querying with MongoDB
![skill]( "Hands On Experience")
- Implementing a Banking System with Dormant Account Functionality
- Enhancing Banking Management System with Inactivity Detection
- Banking Database Management: Detecting and Flagging Dormant Accounts
![skill]( "skill you will learn")
- Relational Database Management (MySQL)
- NoSQL Database Integration (MongoDB)
- Database Operations Automation
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Advanced Python for Data Analytics by PwC Academy Course Details
About PwC Academy
PwC Academy is a learning and education service offering of PwC India. It provides diverse training courses based on the best practices of PwCโs global network of firms and brings real-life business experiences into the classroom. Moreover, subject matter experts help to make learning more effective and practical.
PwC Academy focuses on improving the knowledge, skills, competence, and expertise of professionals and students by offering diverse learning programs in areas such as financial accounting and reporting, risk, governance, and digital.
About this Advanced Python for Data Analytics Course by PwC Academy Course
This course emphasizes using basic Python programming principles to solve practical challenges found in various organizations. Learners will manipulate files, handle and extract information, and connect Python with MySQL.
The application scenarios will focus on practical, real-world uses, such as overseeing data from bank systems and studying data from retail businesses. Learners will acquire important skills in information retrieval, data manipulation, and basic programming with Python.
What will you learn from this Advanced Python for Data Analytics Course by PwC Academy?
By the end of the course, you will be able to:
- Accept and evaluate user inputs with a focus on effectively implementing the eval function.
- Create user-defined functions, understanding parameters, global variables, and the use of lambda functions.
- Understand the concepts of OOP, such as attributes, class and instance variables, constructors, destructors, inheritance, and encapsulation.
- Utilize arrays, conduct operations, and analyze data with NumPy and Pandas.
- Use the Requests library to retrieve web content and Beautiful Soup and Scrapy to extract data from web pages.
- Use basic techniques for conducting operations on images and videos, such as face detection.
- Create databases and tables, perform CRUD operations, and write complex SQL queries by integrating MySQL with Python.
What is Python?
Python is a widely used programming language for small- and large-scale projects. Python allows you to integrate web development with data analysis seamlessly. Python's wide adoption is due in part to its standard library, accessibility, and support for multiple paradigms, such as procedural, functional, and object-oriented programming styles. Python modules can interact with many databases, making it an excellent choice to learn data science and machine learning.
What is the scope of Python in industries?
Python is widely used in many different sectors because of its flexibility, simplicity in learning, and robust community backing. It is commonly utilized in areas like data science and analytics. Major industries like banking, aerospace, insurance, health, Finance, and information technology are the most popular uses of Python programming tools.
Is Python Programmer a good career option?
The demand for Python developers will increase steadily with advancements in AI and machine learning by 2024. Undoubtedly, it offers the most promising career, and this demand for Python developers is growing every year. Being a Python Programmer has become one of the most lucrative career options, with ample opportunities in many high-profile companies such as Google and Facebook.
What are the roles and responsibilities of Python Developer and Data Analyst?
A Python Developer is responsible for designing, developing, and maintaining applications using Python, ensuring code quality through optimization, debugging, and testing.
A Data Analyst focuses on gathering, cleaning, and analyzing data to extract meaningful insights. They also create reports to communicate findings to stakeholders and provide data-driven recommendations to support business decisions. Both roles are essential for leveraging technology and data to drive efficiency and innovation within organizations.
Who is this Advanced Python for Data Analytics by PwC Academy for?
This Advanced Python for Data Analytics by PwC Academy is specifically designed for:
- Freshers who are aiming to enhance their skills and improve their Python programming concepts.
- Python Developer
- Python Programmer
- Data Analyst
- Business Analyst
What are the prerequisites for this Advanced Python for Data Analytics by PwC Academy?
Basic knowledge of Python programming is recommended but not mandatory.
What are the system requirements for this Advanced Python for Data Analytics Course by PwC Academy?
The following specifications are the recommended system requirements for this Advanced Python for Data Analytics Course by PwC Academy :
- Operating System: Windows 8 or any later operating system is required; Linux and other operating systems are also acceptable.
- Processor: For optimal performance, it is recommended to have a 64-bit processor with a minimum speed of 2GHz or higher.
- Memory (RAM): At least 8 GB of RAM is recommended.
- Storage: There must be sufficient free storage space for installing various development tools and other required software components. At least 20 GB of free space is advisable.
- Browser: Compatibility with modern web browsers for accessing online resources, documentation, and web-based tools used in the course.
These system requirements provide a suitable environment for completing the tasks and exercises outlined in the Advanced Python for Data Analytics Course by PwC Academy. Adjustments may be necessary based on specific preferences, additional software requirements, or constraints.
How will I execute the practicals during this Advanced Python for Data Analytics Course by PwC Academy?
Detailed step-by-step installation guides are available on the LMS. If you have any doubts, the 24/7 support team will promptly assist you.
Certification
To unlock the course completion certificate from PwC Academy and Edureka, you must ensure the following:
- Completely participate in this Advanced Python for Data Analytics Course by PwC Academy.
- You must complete all modules along with the graded assessments.
Choosing a profession in Python for Data Analytics is a promising route because of the growing need for data-informed decision-making in various sectors. Businesses are starting to see the importance of data analytics in gaining understanding, increasing efficiency, and improving customer satisfaction.
Beginners are welcome to enroll in this course, as all concepts will be taught from the ground up. This will make an individual highly proficient in managing complex tasks encountered in industries. The class provides a strong base in Python programming concepts.
The value of obtaining a certification in Python for Data Analytics by PwC Academy Certification is multi-faceted:
- Increased Career Options: Having an Advanced Python certification confirms a candidate's skills in Python programming, such as Computer Vision and MySQL integration, which could result in better job prospects and higher salaries in different fields and positions.
- Skill Validation: Advanced Python for Data Analytics certification verifies the candidateโs skills and knowledge of the domain.
- Industry Recognition: Employers frequently seek candidates with accredited certificates.
Big companies such as Amazon, Google, Microsoft, IBM, Oracle, Meta, Accenture, Deloitte, and PwC are currently seeking skilled Python professionals.
John Doe
for having completed the program on
Title
in association with the PwC Academy
issued on
31st Jul 2024
Title
in association with the PwC Academy
issued on
31st Jul 2024
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Advanced Python for Data Analytics by PwC Academy FAQs
What if I miss the Advanced Python for Data Analytics Course by PwC Academy classes?
You will never miss a lecture at Edureka! as you can always view the recorded session of the class available in your LMS.
So, what are you waiting for? Letโs enroll with Edureka and learn the best Advanced Python for Data Analytics Course by PwC Academy with India's top instructors.
Can I change the batch after enrolling in this Advanced Python for Data Analytics Course by PwC Academy?
No, we don't allow batch changes as it impacts your learning and career goals.
What is the role of PwC Academy in this Advanced Python for Data Analytics Course by PwC Academy?
PwC Academy designed and developed this Advanced Python for Data Analytics Course and will conduct the master class.
What is the refund policy for the Advanced Python for Data Analytics Course by PwC Academy?
This Advanced Python for Data Analytics Course by PwC Academy, offered jointly by PwC and Edureka, is non-refundable.
What if I have queries after I complete this Advanced Python for Data Analytics Course by PwC Academy?
Your access to the Support Team is for a lifetime and will be available 24/7. The team will help you resolve queries during and after the completion of this certification course.
How soon after signing up would I get access to the Learning Content?
Post-enrolment, the LMS access will be instantly provided to you and will be available for a lifetime. You can access the complete set of previous class recordings, PPTs, PDFs, and assignments. Moreover, access to our 24ร7 support team will be granted instantly. You can start learning right away.
Will the course material be available to learners after completion of the course?
Yes, once you enroll in the Advanced Python for Data Analytics Course by PwC Academy, you will have lifetime access to the material.
Who are the instructors for this Advanced Python for Data Analytics Course by PwC Academy?
All the instructors at Edureka are industry practitioners with a minimum of 10-12 years of relevant IT experience. They are subject matter experts trained by Edureka to provide an excellent learning experience to the participants.
Is this course 100% online? Do I need to attend any physical classes?
This course is 100% online, and there will be no physical classes. It can be accessed through the web on any device.
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