Data Statistics with Full Stack Python

Description

Want to become a good Data Scientist? Then this is a right course for you. This course was designed by IT professionals with a Master's in Mathematics and Data Science. We cover complex theories, algorithms, and coding libraries in a very simple way so they can be easily grasped by any beginner. We walk you step-by-step through the World of Data science. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advanced level. All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Data-Statistics-with-Full-Stack-Python

What You Will Learn

Master Data Science on Python
Learn to use Numpy and Pandas for Data Analysis
Learn all the math you need to understand Machine Learning algorithms
Real-world case studies
Learn to use Matplotlib for Python plotting
Learn to use Seaborn for statistical plots
Master end-to-end data science solutions
Learn all statistical concepts you need to become a Machine Learning ninja

Audience

This course is for anyone who wants to become a Data Scientist.

Approach

Exhaustive and packed with step-by-step instructions, working examples, and helpful advice, this course is divided into clear chunks so you can learn at your own pace and focus on your own area of interest.

Key Features

Master complex theories, algorithms, and coding libraries in a very simple way * Master Data Science in Python

Github Repo

https://github.com/packtpublishing/data-statistics-with-full-stack-python

About the Author

Geekshub Pvt. Ltd.

Geekshub is an online education company in the field of big data and analytics. Their aim as a team is to provide the best skill-set to their customers to make them job-ready and prepare them to crack any challenge. They have the best trainers for cutting-edge technologies such as machine learning, deep learning, Natural Language Processing (NLP), reinforcement learning, and data science. Their instructors are people who graduated from IIT, MIT and Standford. They are passionate about teaching the topics using curated real-world case studies that calibrate the learning experience of students.

Course Outline

1. Python Fundamentals

2. Numpy

3. Pandas

4. Some Fun With Maths

5. Inferential Statistics

6. Hypothesis Testing

7. Data Visualization

8. Exploratory Data Analysis

9. Simple Linear Regression

10. Real World Problem - Investment Requirement Analysis for a Company

11. Loan Analysis Project