Business Analytics Track - For All Beginners

With increase in data generated across the globe, the demand for Business Analytics professionals is rising continuously.

Are you a student who is dreaming about starting a career in business analytics and don't know where to start. So this track is tailor-made for you to master business analytics. 

This Track aims to provide you all the tools and techniques, along with hands on experience you need to learn Business Analytics.

This program covers tools like Excel, Tableau, SQL, Python and covers all the techniques like Statistics and Exploratory Data Analysis. The program also covers basics of Machine Learning.

More importantly, the program helps you prepare your Resume, prepares you for Business Analytics Interviews.


Pre-requisites for this track:

This track requires no prior knowledge about any tool or technique.

Unique Features of Business Analytics Track

  • Comprehensive Content

    Easy to understand content for students and freshers

  • 5+ Tools & Languages

    A hands-on approach to get ready for the industry

  • 8+ Real-World Projects

    Industry readiness by working on real-life case studies.

Tools covered in this Program are:

  • Microsoft Excel
  • Tableau
  • SQL
  • Python

Bundle includes

Here are all the courses that are included in your bundle.

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Key learnings from this track

  • Microsoft Excel - Beginners to Advanced: MS Excel is still the most widely used tool for day to day work in business analytics across the world. By the end of this course, you will have mastered Excel, Pivot Tables, Conditional Formatting and will be ready to crunch numbers like a pro!
  • Master Tableau from Scratch: Convert your data into actionable insights, create dashboards to impress your clients, and learn Tableau tips, tricks and best practices for your business analytics role
  • Structured Query Language (SQL): SQL is a must-have skill for every business analytics professional. This course will start from the basics of databases and structured query language (SQL) and teach you everything you would need in any business analytics profession
  • Python for Business Analytics and Data Science Professionals: Learn the most widely used programming language for business analytics. This course will teach you Python from scratch, including how to use it for data cleaning, exploration and a whole host of tasks you’ll perform as a business analyst
  • Structured Thinking and Communication for Business Analytics Professionals: Whether you are creating dashboards for your business customers or solving cutting-edge business analytics problems, structured thinking and communication is a must-have skill for every data professional
  • Exploratory Data Analysis and Statistics: Statistics forms the backbone of business analytics. Here, you will learn both descriptive as well as inferential statistics, how to use it for performing exploratory data analysis, and how all of that fits into the business analytics world
  • Machine Learning Basics: Learn the basics of core machine learning algorithms like Linear Regression, Logistic Regression, and Decision Trees. A comprehensive introduction every business analyst must acquire
  • Ace Business Analytics Interviews: A dedicated course to help you build your resume and prepare you for Business Analytics Interviews covering different types of Interviews and how to ace them


Benefits of Analytics Vidhya Online Gurukul

The Business Analytics Track by AV Online Gurukul is designed specifically for students & freshers to gain new-age Analytics skills of 21st century.

  • Students can learn at their own pace

  • Track Progress & Performance

  • Accelerates learning with industry professionals

  • Live Q & A Sessions

  • Discussion portal for peer to peer learning

Enter into the world of Business Analytics

Want to know more about Analytics Vidhya Online Gurukul?

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Instructor(s)

  • Kunal Jain

    Founder & CEO

    Kunal Jain

    Kunal is the Founder of Analytics Vidhya. Analytics Vidhya is one of largest Data Science community across the globe. Kunal is a data science evangelist and has a passion for teaching practical machine learning and data science. Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 12 years across various geographies and companies like Capital One and Aviva Life Insurance. He has worked with several clients and helped them build their data science capabilities from scratch.
  • Pranav Dar

    Senior Content Strategist and BA Program Lead, Analytics Vidhya

    Pranav Dar

    Pranav is the Senior Content Strategist and BA Program Lead at Analytics Vidhya. He has written over 300 articles for AV in the last 3 years and brings a wealth of experience and writing know-how to this course. He has a decade of experience in designing courses, creating content and writing articles that people love to read. Pranav is also an instructor on 14+ courses on Analytics Vidhya and is a passionate sports analytics blogger as well.
  • Sunil Ray

    Chief Content Officer

    Sunil Ray

    Sunil Ray is Chief Content Officer of Analytics Vidhya. He brings years of experience of using data to solve business problems for several Insurance companies. Sunil has a knack of taking complex topics and then breaking them into easy and simple to understand concepts - a unique skill which comes in handy in his role at Analytics Vidhya. Sunil also follows latest developments in AI & ML closely and is always up for having a discussion on impact of technology on years to come.

FAQ

  • Who should take this track on Analytics Vidhya Online Gurukul?

    This track is meant for students, faculty and research students looking to learn machine learning. Colleges/universities can bulk-enroll their students to help them learn machine learning.

  • Do I need to install any software as part of the program?

    You will get information about all installations as part of the course.

  • How long can I access the track?

    You will be able to access the materials for 3 months since the date of your enrollment.

  • I m a student and complete beginner in machine learning, is this track right for me?

    Yes, we have designed this track keeping students in mind. There is no requirement of any prior knowledge about machine learning or any tool.

  • What is the fee for this track?

    The price of the course is mentioned at the top of page. The fee is non-refundable.