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    Analytics Education β€” A Primer & Learning Path

    Analytics Education β€” A Primer & Learning Path

    Explore the surging analytics education market in India. Discover learning paths, top providers, and career tracks to excel in analytics. Get started today!

    Analytics Education β€” A Primer & Learning Path
    Richa BhatiaΒ·Β·Updated DECEMBER 24, 2024, 5:30 AM
    5 min
    The analytics education market in India is exploding with analytics institutes providing a slew of instructional courses that are in line with the industry demand. This study aims to provide an overview of the analytics education landscape in India, the type of learning models offered and how online learning has become an inherent part of the analytics ecosystem in India. There are a bunch of factors that led to the surge of online and hybrid training courses in India:
    • Increased need for industry-relevant courses
    • Popularity of online and hybrid learning formats that allow students to upskill easily
    • Need for personalised learning
    Besides the soaring popularity of analytics education in India, it has also led to a rise in ed-tech startups that have heavily invested in raising the analytics education bar in India by providing cutting-edge training in conjunction with international universities. Analytics India Magazine brings a study compiling different models of analytics education providers in India, how to choose the right model, pre-requisites in terms of skills and tools, learning path, career tracks, among others.

    Different Models Of Analytics Education Providers In India

    Analytics education providers in India mostly offer Business Analytics (BA) and Business Intelligence (BI) programs that combine analytical number crunching, reporting and visualisation techniques. Broadly speaking, courses fall into the following buckets:

    • Fully online courses
    • Blended courses
    • Hybrid courses

    How To Choose The Right Learning Model

    If you are learning data science with the intention to advance your career, you would ideally look for a Learning Model that offers personalised mentorship by industry experts, coupled with capstone projects and career advice such as mock interviews and job placement opportunities. Define your goals both academically and professionally before diving into a learning model and ask yourself these questions.

    • Is the objective to gain a deep understanding of big data tools and technologies?
    • Looking to build a foundation base in data science and maximise your skillset?
    • Do you want to build your career on the business analytics side or big data technology side?
    • Among others described in the study in detail.

    How To Choose The Right Course

    Now that you have decided to go for a particular model, here are the factors to consider:

    • Brand Value
    • Skills and tools covered
    • Resources, access to datasets
    • Alumni success
    • Faculty

    Pre-Requisites In Terms Of Skills & Tools

    Before you deep dive into the program, here are the three essential things you must have, before signing up for a course.

    • Technology
    • Business
    • Statistics

    Learning Path

    The learning path and job roles may be different based on your knowledge in the subject. Based on your experience the learning may be categorised into:

    • Beginners
    • Intermediate and
    • Advanced

    Career Tracks

    Once you are well versed with the concepts, there are various professional possibilities that a data science and analytics professional can explore. Based on your expertise, you can dwell into any of these career tracks:

    • Technology Track
    • Business Track
    • Reporting Track
    • Modelling Track

    Here's the complete report:

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