4.48 (338 reviews)

Regular Price

What you will learn

☑ Learn Intermediate Python Programming Skills

☑ Using the Jupyter Notebook Environment

☑ Using the NumPy Library To Create & Manipulate Arrays

☑ Using The Pandas Module To Create & Structure Data

☑ Create Data Visualizations Using Matplotlib & Seaborn Modules With Python

☑ Learn To Work With Various Data Formats Within Python, Including: JSON,HTML, & MS Excel Worksheets.

Description

There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different! This course is **truly step-by-step**. In every new tutorial, we build on what had already learned and move one extra step forward. After every video, you learn a new valuable concept that you can apply right away. And the best part is that you **learn through live examples**.

This comprehensive course will be your guide to learning how to** use the** **power of Python to analyze data and create beautiful visualizations**. This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

"Data Scientist" has been **ranked the Number #1 Job** on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

In summary, this course has been designed for all skill levels and even if you have **no programming or statistical background** you will still be successful in this course! I can't wait to see you in class.

*In This Course You'll Learn:*

Programming with Python

NumPy with Python

Using pandas Data Frames to solve complex tasks

Use pandas to handle Excel Files

Use matplotlib and seaborn for data visualizations

Screenshots

Content

Introduction

Introduction

What Will You Learn?

Environment Setup

Setting Up Your PC

Anaconda Installation

Launching Jupyter Notebook

Navigating Jupyter NoteBook

Markdown Cells

NumPy - Data Analysis

Introduction To NumPy

NumPy Arrays

Generating NumPy Arrays

NumPy Linspace

Identity Matrix

Generating Arrays With Random Values

Reshape, Min and Max

Shape and Dtype

NumPy Indexing

Index Broadcasting I

Index Broadcasting II

2D Indexing

Extracting Submatrices

Conditional Indexing

NumPy Operations

Universal Functions

Pandas - Data Analysis

Pandas Series I

Pandas Series II

Pandas Dataframes

Dataframes - Adding & Dropping columns

Loc and iLoc

Conditional Selection

Multiple Conditions

Reset Index & Set Index

dropna & fillna

Group By

Join, Merge & Concatenate

Pandas Operations

File Processing

MatPlotLib - Data Visualization

Introduction To Matplotlib

Plotting A Simple Graph

Multiple Plots Inside Same Canvas

Object Oriented Plots

Subplots Using OOP

Modifying Figure Size & DPI

Saving The Plot

Creating A Legend

Customization

Plot Range

Seaborn - Data Visualization

Introduction To Seaborn

Distribution Plots - Part 1

Distribution Plots - Part 2

Categorical Plots - Part 1

Categorical Plots - Part 2

Matrix Plots

Grids

Size & Color

Reviews

G

Ganesh27 August 2021

it's good some part of the lectures, just some codes were unclear. that's it apart from that it was a clear explanation, the way you teach is good. thanks

L

Leshan20 June 2021

It's really great content! Thanks so much Abhishek! i really like that you explained everything very clearly and keep everything short and crisp. good speed as well:)

P

Parvatha10 June 2021

I was really impressed by his teaching. He taught very clearly and also i got lot of information from the session!!!

D

Divyanshu5 June 2021

The best explanation. I loved the way you made everything easy to use and thanks for building basics for Data Science. Highly recommended to all who are stepping into Data Science Field. Thanks ❤

M

Md.2 June 2021

Yes.!!!!! very clear explanation. Thanks to Abhishek, small suggestion add a project using all that you have taught. it will be a help how to use python, pandas, numpy, matplotlib, seaborn.

A

Ashish29 May 2021

if u r new in data science and with python ..this course is for u..belive me the way ...everything is explained is too good... the only thing i felt missing was some exercises should be there..

Y

Yassín18 May 2021

Clear explanation of the usage of each library. Quick but understandable exercises. Very good to boot in Data analysis

Coupons

Date | Discount | Status |
---|---|---|

5/14/2021 | 100% OFF | Expired |

6/13/2021 | 100% OFF | Expired |

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