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Data Analyst Certification Course

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Extensive Program with 12 Courses View all
150+ Hours Of Interactive Learning
Capstone Project
The capstone project will provide you with a business case. You will need to solve this by applying all the skills you’ve learned in the courses of the master’s program.
Edureka's Data Analyst Course is curated by industry experts and provides a deep understanding of analytics principles. Gain hands-on proficiency in Python, Statistical Analysis, Exploratory Analysis, and advanced topics like Data Visualization with Tableau. The curriculum, covering Microsoft Power BI, enriches your skill set, preparing you to excel as a data analyst. Enroll now to unleash the potential of data analytics and advance your career in this thriving industry.
As per Indeed.com, the average salary for a Data Analyst is $90,113 per year in the United States.

You Will Learn

Python Programming, Statistical Analysis, Probability, Exploratory Analysis, Data Analytics, Data Visualization, Querying Data, Data Modeling, Data Preparation, Data Visualization using Tableau, Reporting using Microsoft Power BI and many more Skills

View Curriculum

Data Analyst Course Review

Our Masters Course Alumni work for amazing companies

alumni-user-image

Edureka's Tableau course helped me grow from Test Analyst to Business Analyst

I had a great learning experience with Edureka! The instructors were wonderful and I loved the LMS. At the end of my Data Visualization with Tableau course, I was even able to bag a Tableau Project in my organization and make a career leap. I have tried out courses with other e-learning companies too and I can easily say that Edureka is the best. I am really thankful to Edureka for helping me achieve my career goal.

Edureka's training helped me get promoted to a Technical Lead

Edureka has been my preferred learning destination for almost two years and I have taken multiple courses from them. My experience has been amazing, be it the instructor, the course content, or the LMS. The courses have helped me upgrade my skills in Machine Learning and helped me understand algorithms. I have also been promoted from a module lead to a Technical lead in my organization based on the skills I have acquired.

Edureka's hands-on training helped me prep for a career in Data Analytics

Edureka's Data Analytics with R course helped me upgrade my career. Not only was I able to explore the subject in-depth, but was also able to steer my career in the direction I wished. Edureka's practical training has helped me build muscle in topics that I was previously unclear about, especially concepts like Machine Learning. I have now got a wide array of opportunities in the data analytics field and I couldn't be happier.

Edureka provided me with the confidence and skills required to make a career jump to Business Intelligence

I signed up for the Tableau course at Edureka because I wanted to shift my career to Business Intelligence. I got more than what I bargained for! Edureka gave me the confidence to move to a BI career path and I was able to bag a new job with Soccer.com. I love working with Tableau and Edureka made it so easy for me. I love Edureka's lifetime training and support and the instructors and their training material are great too. I'm glad I registered with Edureka for the course.

Edureka's training has helped me gear up for a career in Data Analytics

I took up the Data analytics with R and Hadoop courses from Edureka because I wanted to change my domain from doing business to IT. My learning experience with Edureka has been wonderful and the training very practical and aligned with the industry. The trainers have been very helpful too and the interview questions they provided helped in my interview preparation. I am very excited about my future and I am confident that I will find my dream job.

Data Analytics Course Syllabus

Python Programming Certification Course

LIVE CLASS

The Edureka Python Training Course online is designed to help you master Python programming. It covers sequences and file operations, conditional statements, functions, loops, OOPs, modules, handling exceptions, libraries like NumPy, Pandas, and Matplotlib, GUI programming, web maps, and data operations. This course prepares you for PCEP, PCAP, and PCPP Professional Certification Exams, enabling you to kick-start your career as a certified programmer.

  • WEEK 4-5
  • 11 Modules
  • 30 Hours
  • 11 Skills
Watch Course Recording
Python Programming Certification Course
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Tableau Certification Training Course

LIVE CLASS

Tableau certification training covers in-depth knowledge of Tableau Prep Builder, Tableau Desktop, Charts, LOD expressions, Tableau Online, etc. This Tableau training will help you master the Business Intelligence tool, Data Visualization, and reporting.

  • WEEK 6-7
  • 11 Modules
  • 36 Hours
  • 11 Skills
Watch Course Recording
Tableau Certification Training Course
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Microsoft Power BI Certification Training Course

LIVE CLASS

Edureka’s Power BI certification course is curated by subject matter experts to help you clear the official Microsoft Power BI Data Analyst Exam: PL-300. This course will help you gain expertise in Business Analytics and throughout the training, you will master the concepts such as Power BI Desktop, Architecture, DAX, Service, Mobile Apps, Reports, Q&A, and many more with industry-relevant use cases. This Power BI training ensures that you get hands-on experience in real-time projects. Learn Power BI from 10+ years of experienced industry experts.

  • WEEK 5-6
  • 10 Modules
  • 30 Hours
  • 11 Skills
Watch Course Recording
Microsoft Power BI Certification Training Course
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Statistics Essentials for Analytics

SELF PACED

A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real world data set to analyze and conclude insights. Statistics and its methods are the backend of Data Science to "understand, analyze and predict actual phenomena". Machine learning employs different techniques and theories drawn from statistical & probabilistic fields.

  • WEEK 3-4
  • 6 Modules
  • 12 Hours
  • 6 Skills
Watch Course Recording
Statistics Essentials for Analytics
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Data Analytics with R Programming Certification Training

SELF PACED

Edurekas Data Analytics with R training will help you gain expertise in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis, and using R Studio for real-life case studies on Retail, Social Media. This course is well suited for professionals and beginners. You will learn different types of supervised and unsupervised Machine Learning algorithms and how to implement them using R. This training encompasses a conceptual understanding of Data Manipulation, Visualization, Mining and other relevant concepts to kickstart your Data Analytics career.

  • WEEK 5-6
  • 10 Modules
  • 24 Hours
  • 12 Skills
Watch Course Recording
Data Analytics with R Programming Certification Training
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AWS Data Analytics Course

SELF PACED

Edureka’s AWS Data Analytics Course is curated by subject matter experts to help you clear the official AWS Certified Data Analytics – Specialty exam (DAS-C01). This course will help you gain expertise in AWS Analytics services and throughout the training, you will master the concepts such as Amazon S3 and various storage services, Database Services such as RDS and DynamoDB, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Kinesis and many more with industry-relevant use cases. This AWS Data Analytics training ensures that you get hands-on experience in real-time projects. Learn AWS Data Analytics from 10+ years of experienced industry experts

  • WEEK 2-3
  • 6 Modules
  • 15 Hours
  • 6 Skills
Watch Course Recording
AWS Data Analytics Course
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Free Elective Courses along with learning path

VIEW FREE COURSES
Self Paced

QlikView Certification Training

VIEW CURRICULUM
Self Paced

R Programming Certification Training

VIEW CURRICULUM
Self Paced

SAS Training and Certification

VIEW CURRICULUM
Self Paced

Analytics for Retail Banks

VIEW CURRICULUM
Self Paced

Decision Tree Modeling Using R Certification Training

VIEW CURRICULUM
Self Paced

SQL Essentials Training

VIEW CURRICULUM

Program Fees

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-
1,639 3,350
Your total savings: 1,711
No Cost EMI Available, Starting from 183/mo.
×
To make this a No Cost EMI offer
The interest amount will be discounted from the price of your order. You will be charged for the item price minus the discounted interest.
See Course Bundle
  • Python Programming Certification Course
    459
  • Tableau Certification Training Course
    649
  • Microsoft Power BI Certification Training Course
    649
  • Statistics Essentials for Analytics
    159
  • Data Analytics with R Programming Certification Training
    0
  • AWS Data Analytics Course
    0
+6 Free Elective Courses 1,434

Financing Options

Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest.

Click on View More to avail. Conditions Apply.

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Capstone Project

Data Analyst Master Capstone Project

To develop a predictive model, which can forecast the demand of a product in each store. This
information is meant to help retailers to manage their supply chain and sales. This, in turn, will
increase the customer satisfaction.

Masters Course Certification

Edureka’s Certificate Holders work at companies like :

wipro icon honeywell icon cisco icon vmware icon dell icon
certificate
John Doe
Data Analyst
Python Programming Certification Course Tableau Certification Training Course Microsoft Power BI Certification Training Course Statistics Essentials for Analytics Data Analytics with R Programming Certification Training AWS Data Analytics Course Data Analyst Master Capstone Project
XYZ1234 31st Jul 2024
The Certificate ID can be verified at www.edureka.co/verify
to check the authenticity of this certificate

Data Analytics Course Features

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As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

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Never miss a class

You can always switch to another batch, depending upon your availability.

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24x7 Support

Resolved All Your Doubts Instantly, get One-On-One Learning Assistance Round The Clock.

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Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Job Outlook

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1.5 Million Career Opportunities estimated for experienced Data Analysts in the IT industry across the globe.

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Salary Trend The average salary for a Data Analyst is $90,113 per year with a $2,500 cash bonus.

job-outlook-image

25.00% Annual Growth in job opportunities for Data Analysts during the last two years, worldwide.

    Top Industries
  • BFSI
  • Retail
  • Manufacturing
  • E-commerce
  • Media & Entertainment
  • Healthcare
  • Telecommunications
  • Consulting
  • Information Technology
  • Energy and Utilities
    Job Titles include
  • Data Analyst
  • Data Scientist
  • Business Analyst
  • Quantitative Analyst
  • Technical Business Analyst
  • Financial Analyst
  • Risk Analyst

FAQs

Data Analytics Course FAQs

A data analyst is a professional who collects, cleans, and analyzes data to uncover insights and support decision-making. They use statistical tools and data visualization techniques to identify trends and patterns, presenting their findings in reports and dashboards. Data analysts play a vital role in helping organizations make informed choices and optimize processes using data-driven insights.

Edureka Data Analyst Course is a structured learning path recommended by leading industry experts and ensures that you transform into an expert Data Analytics professional while making you learn the usage of tools such as Python,Tableau, Power BI etc. Individual courses focus on specialization in one or two specific skills, however if you intend to become a Data Analyst, then this is the path for you to follow.

Becoming a data analyst offers a dynamic career with strong demand and competitive salaries. It provides the opportunity to solve complex problems, make impactful contributions to organizations, and offers continuous learning and growth prospects in a rapidly evolving field.

Here are the learning objectives of this course:

  • Learn to collect, clean, and preprocess data for analysis.
  • Develop proficiency in data visualization and reporting.
  • Gain skills in statistical analysis and data modeling.
  • Learn to use data analysis tools and programming languages (e.g., Python, R, SQL).
  • Understand the principles of data-driven decision-making.
  • Work on real-world projects to apply your skills.

    • There are no prerequisites for enrollment to the edureka Data Analyst Course. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Analyst, Our Data Analysis online course is designed and developed to accommodate various professional backgrounds.

    Topics covered but not limited to will be : Python Programming, Statistical Analysis, Probability, Exploratory Analysis, Data Analytics, Data Visualization, Querying Data, Data Modeling, Data Preparation, Data Visualization using Tableau, Reporting using Microsoft Power BI and many more Skills.

    Data analysts play a pivotal role in organizations by collecting, cleaning, and analyzing data to extract valuable insights. They are responsible for ensuring data accuracy, conducting statistical analyses, and creating visualizations to effectively communicate findings. Data analysts collaborate with diverse teams, translating complex technical insights into actionable recommendations for decision-makers. Staying current with tools and methodologies, maintaining data governance, and problem-solving to address business challenges are essential components of a data analyst's role.

    The following concepts need to be applied in the project:

    • Load the data in R from all the different files
    • Assess the quality of data
    • Perform data audit and profiling
    • Treatment of data – Missing Values & Outlier
    • Exploration of various combinations of variables and provide key business insight
    • Prepare Tableau Visualization from data exploration steps
    • Perform forecasting using Tableau visualization

    Edureka’s Data Analytics Masters Program is a thoughtful compilation of Instructor-led and Self-paced Training Program, allowing the learners to be guided by industry experts and learn skills at their own pace.

    After completing a Data Analyst course, you can pursue various career paths, including roles such as Data Analyst, Business Analyst, Market Analyst, or Data Scientist. With experience and further education, you can advance into more senior positions and specialize in specific domains like healthcare, finance, or marketing.

    Yes! You can be enrolled in multiple other Instructor-led or Self-paced courses offered by Edureka. This is the advantage of learning with us - “Flexible Schedule”. You can select the batches that allow you to make the best of your learning journey without the fear of overlapping or missing classes.

    The recommended duration to complete this Data Analyst Certification Course is 15 weeks, however, it is up to the individual to complete this online Data Analyst Course as per their own pace.

    Yes, There are multiple resources available online to learn data analysis for free. Here's a roadmap you can follow:

    • Many tutorials on YouTube cover various aspects of data analysis. Edureka offers quality content for beginners.
    • For advanced learning, edureka offers a Data Analyst course, which is a Paid course, but it includes 6 free self-paced courses:
      1. QlikView Certification Training
      2. R Programming Certification Training
      3. SAS Training and Certification
      4. Analytics for Retail Banks
      5. Decision Tree Modeling Using R Certification Training
      6. SQL Essentials Training
    • Books and eBooks
    • Official documentation for tools like Pandas, NumPy, and Matplotlib in Python, or ggplot2 and dplyr in R, are excellent free resources.
    • Join communities like Stack Overflow, Reddit's r/datascience, or Data Science Central. Get engaged in discussions, ask questions, and learn from others' experiences.
    • Work on small projects to apply your learning. Platforms like Kaggle offer datasets and competitions to practice data analysis skills.
    • For insights and discussions on data analysis, listen to podcasts like "Data Skeptic" or attend webinars offered by various organizations.

    As soon as you enroll, all the courses mentioned in the Data Analyst Course curriculum will be added to your account. Edureka provides its learners with immediate and lifetime access to every course, which is a part of the Data Analytics Masters Program.

    Edureka offers a comprehensive Data Analyst Master's Program that covers various topics, including data analysis using tools like Python, R, SQL, Excel, Tableau, and Power BI. The program is designed to make you proficient in techniques like data visualization, data mining, and predictive modeling. Edureka also provides job assistance services such as resume building and interview preparation.

    No, we do not enforce order of course completion. Our Data Analyst Masters Program recommends the ideal path for becoming a Data Analyst, however, it is learner’s preference to complete the courses in any order they intend to.

    A certificate of completion for the Data Analyst Masters Program shall be awarded to you once you have completed the following courses:

    • Python Certification Training Course
    • Tableau Certification Training Course
    • Microsoft Power BI Certification Training Course
    • Statistics Essentials for Analytics
    • Data Analytics with R Programming Certification Training
    • AWS Data Analytics

    To aid your learning journey, we have added the following elective courses in the LMS:

    • QlikView Certification Training
    • R Programming Certification Training
    • SAS Training and Certification
    • Analytics for Retail Banks
    • Decision Tree Modeling Using R Certification
    • SQL Essentials

    Completion of the above elective courses is not associated with Master's Program completion criteria.

    Yes, We would be providing you with the certificate of completion for every course that is a part of the learning pathway, once you have successfully submitted the final assessment and it has been verified by our subject matter experts.

    Yes, data analyst is a good career in 2023 and beyond. The demand for data analysts is growing rapidly, as businesses of all sizes are realizing the value of using data to make better decisions.

    Following are some of the reasons why data analyst is a good career:

    • High demand and good pay: The demand for data analysts is high and the pay is also good. The median annual salary for data analysts in the United States is $90,113.
    • Variety of job opportunities: Data analysts can work in a variety of industries, including healthcare, finance, retail, and technology. This means that there are many different job opportunities available to data analysts.
    • Challenging and rewarding work: Data analysts use their skills to solve complex problems and make a real impact on businesses. This can be very rewarding work.
    • Opportunities for growth: The field of data analytics is constantly evolving, which means that there are always opportunities for data analysts to learn new skills and grow their careers.

    The Data Analyst Course syllabus includes the following topics:

    • Introduction to Data Analytics
    • Data Collection and Preprocessing
    • Data Exploration and Visualization
    • Statistical Analysis
    • Data Analysis Techniques
    • Data Manipulation and Transformation
    • Machine Learning Basics
    • Big Data Analytics (Optional)
    • Case Studies and Projects

    The Data Analyst training course is for those who want to fast-track their Data Analytics career. This Data Analyst Course will benefit the people working in the following roles:

    • Freshers
    • IT team leaders
    • Business analysts
    • Project managers
    • Software developers
    • Data analysts

    Yes, Learning data analytics can be challenging, especially for those without a technical background, but with the Edureka Data Analyst Course, it is more manageable than you might think. This course is designed for beginners and advanced professionals by subject matter experts, which makes it easy to learn without any prior knowledge.

    After completing Data Analytics masters program, you'll have access to a wide range of job opportunities. These include roles such as Data Analyst, Business Analyst, Market Research Analyst, Financial Analyst, and more, depending on your specific interests and skills. Data analytics skills are highly sought-after across various industries, enabling you to work in fields like healthcare, finance, marketing, and technology.

    The Data Analyst course fee is INR 118,578. You can enroll at a discounted price of INR 69,999 (if the discount is currently active), saving a total of INR 48,579. You can take advantage of our No Cost EMI option, starting from INR 7,778 per month. Other financing options are also available for your convenience.

    Top Companies Such as McKinsey & Company, Bain & Company, Accenture, Deloitte, PwC, EY, KPMG Google, Amazon, Microsoft, IBM, Oracle, Cisco,Intel, JPMorgan Chase, Goldman Sachs, Wells Fargo, Citibank, Morgan Stanley, and many more are frequently hiring for Business Analysts role.

    Yes, You will get lifetime access of study materials for your Data Analyst Masters course. You can access it anytime from anywhere.

    Yes. Edureka Data Analyst Course Masters Program is well suited for beginners. Many professionals want to switch their careers in data analysis or start in this field. This online Data Analysis course will help you learn everything from scratch.

    Yes, Professionals can learn data analysis through Edureka's online Data Analyst course and earn a data analysis certificate.

    Data analysts are exclusive among the many data-centric jobs available today in business.The Data Analyst role focuses on obtaining and interpreting the data,analyzing the results, then reporting results to the appropriate team. A Data Analyst is also involved in identifying patterns and trends within data sets.rthey work with the business or management teams to define business requirements develop new data collection and analysis procedures, and provide real value to the video.

    The Data Analyst course will equip you with adequate knowledge of data analysis tools and methods to help you excel in your new job as a Data Analyst. You'll be proving the new skills you have acquired and your on-the-job knowledge.

    Edureka offers online courses that can be accessed from anywhere with an internet connection. You can enroll in the Edureka Data Analyst course from anywhere in the globe, as long as you have access to a computer and the internet.

    According to Glassdoor, the average salary of a Data Analyst in India is ₹6,00000 per year. An Entry-Level Data Analyst with less than three years of experience earns an average salary of ₹4.9 Lakhs per year.

    Here are some popular certifications that can be beneficial for data analysts:

    • Microsoft Certified: Data Analyst Associate (DA-100)
    • Certified Analytics Professional (CAP)
    • SAS Certified Data Scientist
    • Certified Associate (CCA) Data Analyst
    • Tableau Desktop Specialist/Associate Certification

    Yes, Our Data Analyst course is entirely online. You have access to the course materials from any device connected to the Internet.

    If you are looking for Data Analyst resources, Edureka provides blogs, tutorials, and Data Analyst interview questions.

    Yes, it is possible for a person to become a Data Analyst without a college degree. While many employers prefer candidates with a degree in fields such as mathematics, statistics, or computer science, a combination of relevant skills, experience, and certifications can also make one eligible for a Data Analyst position. It is important to have a strong understanding of data analysis tools and techniques, as well as experience in data manipulation, visualization, and interpretation. One can acquire these skills through taking this Data Analyst Course and self-study.

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