A comprehensive Learning path to become a Data Analyst

  • BeginnerLevel

  • 2 hrs 0 minsDuration

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About this Course

  • Comprehensive Learning Path – A structured guide to becoming a data analyst with curated resources, industry insights, and step-by-step guidance.
  • In-Demand Skills for 2025 – Master essential data analytics tools, techniques, and frameworks needed to excel in the evolving industry.
  • Hands-On Practice – Gain real-world experience through practical exercises, assignments, and projects to enhance your analytical skills.

Learning Outcomes

Master Data Analytics

Learn essential tools, techniques to excel in data analysis.

Deep Dive into Data

Explore powerful functions to clean and analyze data.

Hands-On Data Analysis

Work on real projects to boost data analysis expertise.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

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  1. 1. Overview of Learning Path

  2. 2. Action Plan

  1. 1. Plan for January 2025

  2. 2. Overview of the Course

  3. 3. A brief introduction to Python

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

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With this course you’ll get

  • 2 hrs 0 mins

    Duration

  • Kunal Jain

    Instructor

  • Beginner

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility

Frequently Asked Questions

Looking for answers to other questions?

This course is tailored for individuals aspiring to become data analysts, including beginners seeking a structured learning path and professionals aiming to enhance their data analytics skills.​

The course offers a comprehensive curriculum, starting with foundational tools like Python and Pandas, progressing to data exploration, manipulation, and advanced analytics techniques.​

This course is free of cost!

Yes, the course is self-paced, allowing learners to progress at their convenience. While the total duration may vary, the course is designed to be completed in approximately 2 hours.​

No prior experience is required! The course starts with the basics and gradually progresses to advanced concepts, making it suitable for beginners and professionals alike.

Yes, you will receive a certificate of completion after successfully finishing the course and assessments.

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