The batch starts from 19th Feb and classes will be held at 8 am. You can access the recordings if you aren't able to join in the live sessions.

The class will be held on weekdays and will take approximately a month to complete!

Class strength will be 10-20 people.
 

This course will give you the resources to learn python and effectively use it analyze and visualize data! Start your career in Data Analysis!

 You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data

Syllabus:
Introduction

Strings

Numbers

Data types

Lists

Dictionary

Tuples

Sets

If-else Loops

for and while

INTERMEDIATE:

Functions and Lambda Functions

Exception Handling

 File handling

ADVANCE:

NUMPY

Pandas

Matplotlib ..and a lot of practice for these libraries because they are most important :)

This hands-on course is designed for absolute beginners as well as for proficient programmers who want to use Python to solve real-life problems. You will learn how analyze data, make interesting data visualizations, drive insights, analyze data etc.
 

By the end of this course you will: 

  - Have an understanding of how to program in Python. 

  - Know how to create and manipulate arrays using numpy and Python. 

  - Know how to use pandas to create and analyze data sets. 

  - Know how to use matplotlib to create beautiful data visualization. 

  - Have an amazing portfolio of example python data analysis projects! 

*I will also help you to earn Kaggle Certifications! :)

Description:

Learn how to use Python for data analysis and gain insights from your data. This comprehensive course will cover various techniques and libraries available in Python for data manipulation, exploration, visualization, and modeling. Whether you are a beginner or an experienced programmer, this course will provide you with the knowledge and skills to effectively analyze and derive meaningful insights from your data using Python.

Key Highlights:

• Master essential Python libraries for data analysis
• Learn techniques for data manipulation and exploration
• Visualize data using powerful plotting libraries

What you will learn:

• Master Python libraries
  Learn how to use popular Python libraries such as NumPy, Pandas, and Matplotlib to efficiently manipulate, analyze, and visualize data.
• Data manipulation and exploration
  Discover various techniques to clean, transform, and explore data using Python, ensuring data quality and integrity.
• Data visualization
  Explore the capabilities of powerful Python plotting libraries like Matplotlib to create stunning visualizations and effectively communicate insights.