Python For Data Science A-Z: EDA With Real Exercises [Free Data Analysis Course] - TechCracked

Python For Data Science A-Z: EDA With Real Exercises

Work With Pandas, Python For Data Science, ML & Data Analysis, Data Prep With EDA &100+ Exercises & Real Life Projects

This course includes:

  • 15.5 hours on-demand video
  • 1 article
  • 5 downloadable resources
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion

What you'll learn

  • Build a Solid Foundation in Data Analysis with Python
  • You will be able to work with the Pandas Data Structures: Series, DataFrame and Index Objects
  • Learn hundreds of methods and attributes across numerous pandas objects
  • You will be able to analyze a large and messy data files
  • You can prepare real world messy data files for AI and ML
  • Manipulate data quickly and efficiently
  • You will learn almost all the Pandas basics necessary to become a 'Data Analyst'

Description

Hi, dear aspiring data scientists! Welcome to the “Comprehensive Python Data Science Course: EDA and Real-World Projects 2024” from beginner to advanced level. We love programming, and Python is one of the most popular coding languages in today’s technology industry. Python offers both object-oriented and structural programming features. Hence, we are interested in data analytics with the Pandas library in this course.

This course is for those who are ready to take their data analysis skills to the next advanced level with the Python data analytics toolkit, i.e., "Pandas". This tutorial is designed for beginner and intermediate learners, but that doesn't mean that we will not talk about the advanced stuff as well. Our approach to teaching in this tutorial is simple and straightforward, with no complications to make you bored or lose concentration.

In this tutorial, I will be covering all the fundamental concepts you'll need to know about 'Pandas' to become a data analyst or a data scientist. We are adopting a practical approach to learning things easily and comfortably. You will enjoy learning as well as the exercises to practice along with the real-world projects (The projects included are part of large-size research-oriented industry projects).

I think it is a wonderful platform, and I got a wonderful opportunity to share and gain my technical knowledge with the aspiring data scientists and data science enthusiasts.

What you will learn:

You will become a specialist in the following things while learning via this course “Data Analysis With Pandas”. You will be able to analyze large datasets and establish a strong foundation in data analytics with Python. After completing the course, you will have practical experience on:

- Pandas Data Structures: Series, DataFrame, and Index Objects

- Essential Functionalities

- Data Management

- Data Preprocessing

- Data Cleaning and Wrangling

- Data Grouping

- Data Aggregation

- Pivoting

- Working With Hierarchical Indexing

- Converting Data Types

- Time Series Analysis

- Advanced Pandas Features and much more with hands-on exercises and practical projects.

Series at a Glance:

- Series Methods and Handling

- Introducing DataFrames

- DataFrames More In-Depth

- Working With Multiple DataFrames

- Going MultiDimensional

- GroupBy And Aggregates

- Reshaping With Pivots

- Working With Dates And Time

- Regular Expressions And Text Manipulation

- Data Visualization

- Data Formats and Input/Output Operations

Pandas and Python go hand-in-hand, which is why this bootcamp also includes a Comprehensive Pandas Coding Bootcamp to get you up and running writing pythonic code in no time.

This is the ultimate course on one of the most sought-after skills today. I hope you commit to mastering data analysis with Pandas.

Pandas and Python are a dynamic duo in the world of data science. This bootcamp includes an extensive Pandas Coding section to get you up and running with writing efficient and pythonic code in no time. You will learn to manipulate, analyze, and visualize data like a pro.

This is the ultimate course for mastering one of the most valuable skills in today’s data-driven world. I encourage you to commit to mastering data analysis with Pandas and take full advantage of this comprehensive learning experience.

Join me inside the course and take the first step towards becoming a data analysis expert. Together, we will explore the fascinating world of data science, and you will gain the skills and confidence needed to excel in your career.

See you inside!

Who this course is for:

  • Beginner Python developers - Curious to learn about Data Science Or Data Analysis
  • Data Analysis Beginners
  • Aspiring data scientists who want to add Python to their tool arsenal
  • Students and Other Professionals
  • AI and ML aspirants to upgrade their knowledge in Data Preprocessing before applying the machine learning algorithms to their projects
  • Data Analyst job seekers who wants to update their Resume with Python's data analysis toolkit

Requirements

  • Students must be willing to learn the Data Analysis with Python language
  • If you know basics of Python that is well and good
  • Basic Or intermediate experience with Microsoft Excel or another spreadsheet software, but not necessary
  • Basic knowledge of data types (strings, integers, floating points, Booleans) etc, but not necessary
  • Basic Programming knowledge Or knowing any other programming languages will also helps

Also See : 100 Days of Code: A Challenging Complete Python Pro Bootcamp

Course is FREE for Limited Time Only!