Data Statistics with Full Stack Python [Video]
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-
Free ChapterPython Fundamentals
-
Numpy
-
Pandas
-
Some Fun With Maths
-
Inferential Statistics
- Inferential Statistics
- Probability Theory
- Probability Distribution
- Expected Values Part1
- Expected Values Part2
- Without Experiment
- Binomial Distribution
- Commulative Distribution
- Normal Distribution
- z Score
- Sampling
- Sampling Distribution
- Central Limit Theorem
- Confidence Interval Part1
- Confidence Interval Part2
-
Hypothesis Testing
-
Data Visualization
-
Exploratory Data Analysis
- Introduction
- Data Sourcing and Cleaning part1
- Data Sourcing and Cleaning part2
- Data Sourcing and Cleaning part3
- Data Sourcing and Cleaning part4
- Data Sourcing and Cleaning part5
- Data Sourcing and Cleaning part6
- Data Cleaning part1
- Data Cleaning part2
- Univariate Analysis Part1
- Univariate Analysis Part2
- Segmented Analysis
- Bivariate Analysis
- Derived Columns
-
Simple Linear Regression
-
Real World Problem - Investment Requirement Analysis for a Company
-
Loan Analysis Project
About this
video
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
- Publication date:
- July 2019
- Publisher
- Packt
- Duration
- 14 hours 16 minutes
- ISBN
- 9781838986612