About the Nanodegree Program Nanodegree Programs are industry-recognized credential premeditated for students to groove their skills or establish their career. …

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About the Nanodegree Program

Nanodegree Programs are industry-recognized credential premeditated for students to groove their skills or establish their career. With the cooperative effort of our proficient teams and industry leaders, Nanodegree Programs are curated to provide a proactive learning skill of forthcoming and contemporary computer technologies. Nanodegree Program focuses broadly on job-readiness and covers every fundamental skill required to becoming successful in your career. The Nanodegree Programs profoundly focus on present industry necessities and career outcomes. The Nanodegree Programs are divided into topic-wise modules which in turn comprise of short video lectures, exercises, quizzes, and projects to enhance the conception of the topic. The courses are imparted by highly intellectual mentors who have appropriate industrial experience. Industry-relevant in the curriculum certifies that the students are prepared to take up industrial challenges. The Nanodegree programs enable students to network one-on-one with various industry experts as a form of mentorship support to the students.  

WHY should I become Data Analyst?

More than 97,000 analytics positions remain vacant in India due to the shortage of talent. Opportunities for freshers have also increased with openings for them accounting for 21% of analytics jobs, compared to 17% last year. Hari Krishnan Nair, Co-founder, Great Learning said: A 45% increase in the supply gap in just one year indicates the pace at which businesses are adopting analytics and data-based decision making.

 

WHAT are the learning outcomes?

To start from scratch! And make you gain all major skills to be a successful data analyst. To make you feel motivated and encouraged and gather the theoretical background knowledge necessary for the learning process of python and data analytics. To make you understand the data. To make you understand the requirements and to make your experience, how you can use your domain to upskill your job opportunities.

Course Curriculum

    • Assignment submission 00:00:00
    • Session 1: Introduction 00:17:00
    • Session 2 :Starting with programming 00:13:00
    • Session 3: Starting with data analytics 00:16:00
    • Session 4: Why are we learning analytics: Assignment 1 00:11:00