Start your journey to becoming a Data Analyst or Data Scientist using Python - one of the most popular programming languages in the world. No prior coding experience is required; you’ll start from scratch and learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. You’ll begin your data analyst training with interactive exercises and get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, Seaborn, and many more. You’ll learn why Python for data analysis is so popular and work with real-world datasets to grow your data manipulation and exploratory data analysis skills. This course has 8 modules including a course orientation module. Each module ends with an exercise which helps to gauge your understanding as you progress through the course. The course ends with a final project in which you will be applying everything you have learnt in the course.

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iDataCollege
Courses
3
5 5
Reviews
1
Students
38

Curriculum

    • Data Types (Part 1) Unlimited
    • Data Types (Part 2) Unlimited
    • Data Types (Part 3) Unlimited
    • Data Types (Part 4) Unlimited
    • Control Flow Statements Unlimited
    • Functions (Part 1) Unlimited
    • Pandas (Part 1) – Exploratory Data Analysis Unlimited
    • Pandas (Part 2) – Data Cleaning Unlimited
    • Pandas – Advanced EDA Unlimited
    • Pandas (Descriptive Analytics) Unlimited
    • Data Visualization (Matplotlib) Unlimited
    • Data Visualization (Seaborn) Unlimited
    • Capstone Project Solution Unlimited

Reviews

5

5
1 ratings
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  1. Excellent Learning
    5

    I recently completed a data analytics course with IData College, and it was an exceptional experience! The instructor was highly knowledgeable, engaging, and skilled at breaking down complex topics into simple, understandable concepts. The course content was well-structured and practical, with hands-on projects that made learning enjoyable and relevant. I highly recommend IData College for anyone looking to develop their data analytics skills