Data Analysis
₹4499   ₹3499

Test Drive a Data Analyst Career

Skilled data analysts are some of the most sought-after professionals in the world. If you are planning your future career or thinking about a career upgrade, working as a data analyst can be an eye-catching option.

Data Analytics: An In-Demand Career

Data analysts are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education.

Because the demand is so strong, and the supply of people who can truly do this job well is so limited, data analysts command huge salaries and excellent perks, even at the entry-level.

How to know if a data analyst career is right for me?

Test driving this career course provides you with a safe, simulated, and risk-free way to immerse yourself as a data analyst in real-world workplace scenarios. This helps you understand what a data analyst career is all about and find out if it is the right fit for you.

Who is the course for?

For anyone (a student, a graduate or a working professional) who wants to explore if a career in data analytics is right for them.

  • Duration:  Approx. 12 hours to complete
  • Course Access Period:  30 days
  • Download Material:  Case studies in PDF
  • Learning: 100% online on your mobile or computer
  • Effort:  1 hour per day for 10 days
  • Schedule:  Self-paced and learn on your own schedule
  • Beginner Level:  No prior experience required
  • Language:  English

What You'll Learn

1. Course Overview

Course Overview

An overview of the course.

2. Test Driving Instructions

Test Driving Instructions

Instructions that help you navigate with ease while you test drive.

3. The Secret of Airbnb's Pricing Algorithm


Deploying predictive analytics, how Airbnb uses big data and machine learning to show hosts the probability of getting a booking and allows them to easily price their listings dynamically with a click of a button through their dynamic pricing feature.

4. How Walmart Uses Big Data?


How Walmart uses big data to solve complex problems in various areas of its business with the ultimate objective of enhancing, optimizing, and customizing the shopping experience of its customers.

5. Using Big Data to Drive Big Engagement


The different approaches Netflix follows in dealing with large streams of data to extract information and how its recommendation system creates a personalized experience that makes it easier for users to find great content to enjoy.

6. Using Data to Plan Engine Maintenance and Minimize Disruptions


With an effective Engine Health Monitoring (EHM) system, how Rolls Royce aims to avert a potential threat before it has a chance to develop into a real problem.

7. Harnessing the Power of Data to Detect and Prevent Credit Card Fraud


Using data analytics and machine learning, how American Express detects and prevents fraudulent transactions before a substantial loss is incurred while allowing normal business transactions to proceed in a timely manner.

8. Career Outlook and Learning Paths

Career Outlook

Resources providing you an outlook on a data analyst career, including the job outlook, duties and responsibilities, required skills and education, median annual salary, and different certification courses to land the data analyst career.

9. Find a Mentor

Find a mentor

Resources that help you find a suitable mentor who can make a great difference in helping you build a successful career in Data Science.

10. Hands-on Activity


An activity that gives you hands-on experience in analysing the data, drawing insights and arriving at conclusions.

11. Self Assessment and Your Ikigai


A self-assessment to find if the career aligns with your Ikigai and if it is the right fit for you. A downloadable course completion certificate.

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