Data Analysis Crash Course For Beginners

Data Analysis Crash Course For Beginners

Learn Data Analysis Fundamentals: Pandas, DataFrames, Jupyter, iPython, and Commands

New Course
Course Instructor: Shubham Sarda

Course Outcomes

  • Fundamentals of Data Analysis.
  • Important Jupyter Notebook Commands.
  • Working with DataFrames (Indexing, Slicing, Adding and Deleting)
  • Working with Pandas, iPython, Jupyter Notebook.
  • Working with CSV, Excel, TXT, JSON Files and API Responses.

Course Structure

11 lectures58m total duration

  Course Introduction 
1min
  What is Pandas? 
5min
  Starting With Pandas And iPython 
10min

About This Course

Welcome to the Data Analysis Crash Course. The beauty of this course is that it aims at simplifying the complex concepts for beginners, while focusing on practical aspects of data analysis. There's no need to feel overwhelmed by large chunks of data anymore. We will teach you how to navigate through it with ease using Python and the Pandas library.

In this course, we will start with the very basics of data analysis. As we progress, we'll dive deep into using tools such as Pandas, iPython, and Jupyter Notebook. We understand how important it is to work comfortably with different data formats. Therefore, we will also cover working with various types of files like CSV, Excel, TXT, JSON, and even API responses. You will learn how to efficiently handle and manipulate these files for your data analysis needs.

One key component we will focus on is the 'DataFrame', an essential aspect of the Pandas library. Here, you will learn everything from indexing, slicing to adding, and deleting within DataFrames. Our goal is to equip you with the necessary skills to leverage the benefits of these high-performance, easy-to-use data structures and data analysis tools provided by the open-source Pandas library.

This course brings value not only to those interested in data science. It is also useful for fields like finance, neuroscience, economics, advertising, web analytics, statistics, social science, and many areas of engineering where data analysis plays a vital role.

By the end of this course, we promise that you will immerse yourself not just in the know-how of Pandas, but also imbibe a solid understanding of data analysis. You will be one step closer to mastering data analysis, being ready to explore this vast field in-depth in the future.

Used by learners at

Microsoft
Amazon
Google

Course Requirements

  • Basics of Python

Student Feedback

4.5
Course Rating

50%

50%

0%

0%

0%

Course Instructor

Shubham Sarda
Software Developer & Instructor
Shubham Sarda
4.7 Instructor rating
155 Ratings
1.6k Students
18 Courses

Shubham is a software developer with a passion for teaching. He has worked with many funded startups, self-projects and as a top-rated freelancer on marketplaces. Shubham has taught programming and d...View profile

Upgrade to a Pro account and unlock more courses for accelerated learning. Instant feedback, interactive learning and more.

Free

  • 100+ coding courses
  • Certificate of completion
  • Hands-on practice
  • 24x7 doubt solving with AI
  • 100+ projects to practice
  • In-depth project feedback
  • AWS cloud sandboxes

Pro

  • 100+ coding courses
  • Certificate of completion
  • Hands-on practice
  • 24x7 doubt solving with AI
  • 100+ projects to practice
  • In-depth project feedback
  • AWS cloud sandboxes
Upgrade To Pro