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?
This course helps you test drive a career in Data Analytics by providing 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. 15 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 15 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
An overview of the course.
2. Test Driving Instructions
Instructions that help you navigate with ease while you test drive.
3. Career Introduction
Go through a full introduction about the data analyst career including job responsibilities, tools analysts use, key skills (technical and soft skills) associated with data analytics and education requirements to pursue a career in data analytics.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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. FAQs
Go through some of the most common questions you're likely to encounter when you plan to start your career in data analytics.
11. Hands-on Activity
An activity that gives you hands-on experience in analysing the data, drawing insights and arriving at conclusions.
12. 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.
13. Career Outlook
Get an outlook on a data analyst career, including the salary, job titles, industries and companies recruiting data analysts, reasons why data analytics is a great career choice and career pathways from entry-level to management positions.
14. Complete Roadmap
Find a complete roadmap that provides you with a step-by-step guide to become a data analyst. Includes expert-curated resources that help you improve your fundamentals and soft skills and enrol in a suitable Data Analytics certification course to get qualified and land a job.
Test Driving Outcome
1. Gain career clarity
Explore the nature of work and get to know the core responsibilities from the comfort of your home.
2. Discover if the career suits you
Experience what real-life work would be like, find your purpose in work and decide if the career is right for you.
3. Get qualified to land a job
Enrol in a suitable Data Analytics certification course and get qualified to land a data analyst job.
Learner Reviews
Deshak (ECE, 3rd Year)
BangaloreThis has provided me with a suitable learning path to pursue a career in data analytics.
Priya (Working Professional)
DelhiA great introductory course. I found that I'm suitable for a data analytics career.
Vishnu (Mathematics, 1st Year)
ChennaiI've got an outline of the skills that are essential for a data analyst and different ways to improve them.
Rithish (Statistics Graduate)
MumbaiThanks to this exploratory program, now I'm confident to go ahead in investing in a Data Science course.
Diya (Commerce Graduate)
BangaloreTo my surprise, I found that this learning program is designed with absolute beginners in mind.
Daniel (Economics, 3rd Year)
PuneI'm excited to find that even an Economics student can pursue a career in Data Analytics.
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Offer Price:
(Bundled Courses)
₹6999 ₹5999
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