Learn Python for Data Analysis
Published 5/2025
Duration: 12h 11m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 6.81 GB
Genre: eLearning | Language: English
Published 5/2025
Duration: 12h 11m | .MP4 1920x1080, 30 fps(r) | AAC, 44100 Hz, 2ch | 6.81 GB
Genre: eLearning | Language: English
Master Python fundamentals, NumPy, Pandas, and real-world data analysis techniques — no prior experience needed.
What you'll learn
- Understand and apply core Python programming concepts such as data types, loops, functions, and file handling, specifically tailored for data analysis tasks.
- Manipulate structured data using powerful libraries like NumPy and Pandas, including working with arrays, data frames, filtering, grouping, and summarizing data
- Visualize data effectively using Matplotlib and Seaborn to create insightful graphs and plots such as bar charts, histograms, heatmaps, and line plots.
- Work with databases using SQLite3 in Python to store, query, and manage data efficiently, integrating SQL queries into data analysis workflows.
Requirements
- No prior experience required. I Just need your dedication, time and willingness to learn.
Description
Are you ready to start your journey into the world of data? Whether you're a complete beginner or looking to solidify your foundation, this course is the perfect place to begin.“Learn Python for Data Analysis”is designed to help you master Python programming and apply it to real-world data problems.
Python is one of the most popular and in-demand programming languages, especially in the fields of data science, machine learning, and analytics. In this course, you'll start from the basics and gradually move into powerful libraries likeNumPyandPandas, which are essential tools for any data analyst.
This course is practical, hands-on, and beginner-friendly. You'll not only learn how to write Python code, but also how toanalyze, manipulate, and visualize dataeffectively. Throughout the course, you'll work on mini-projects and exercises to apply what you've learned.
What you'll learn:
Python programming fundamentals
Variables, data types, loops, functions, and more
NumPy for numerical operations and arrays
Pandas for data manipulation and analysis
Real-world datasets for practice
Data cleaning, transformation, and basic visualization
By the end of this course, you’ll have the confidence and skills to work with data using Python. Whether you're a student, intern, job-seeker, or simply curious about data, this course provides a strong foundation to launch your career in data analytics or data science.
Taught byHarsh, a data scientist and mentor from Ahmedabad with experience training 200+ students, this course reflects real classroom teaching brought online — with clarity, simplicity, and impact.
Join now and take the first step towards becoming data-savvy!
Who this course is for:
- This course is designed for everyone. Even if you're just getting started with python, or you're an intermediate developer, or an advanced user, this course will help you understand how python is usefull for data analysis
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