Python for Data Analytics

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Onur Baltacı

1:50:33

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1. Before starting to the course

1. Before Starting.html

2. Statistics fundamentals

1. About this section of the course.html

2. General Concepts.mp4

01:43

3. Descriptive statistics introduction & Frequency.mp4

02:46

4. Mean - Mode - Median.mp4

02:47

5. Probability Introduction.mp4

02:29

6. Probability Distributions.mp4

03:07

7. Conditional Probability & Tree Diagram.mp4

05:05

8. Inferential Statistics introduction.mp4

03:28

9. Confidence Interval.mp4

03:07

10. Simple Linear Regression.mp4

01:22

11. Statistics Quiz.html

3. Python enviroment will be used in the course

1. Google Colab & Jupyter Notebook.html

4. Python fundamentals

1. Print & Comments.mp4

02:20

2. Variables part 1.mp4

06:04

3. Variables part 2.mp4

03:58

4. Data Types part 1.mp4

09:05

5. Data Types part 2.mp4

05:06

6. Operators.mp4

08:40

7. If Statements.mp4

05:05

8. Loops.mp4

04:27

9. Functions.mp4

04:03

10. Python Quiz.html

5. Pandas

1. Pandas Introduction.mp4

06:09

2. Pandas Coding 1.mp4

01:49

3. Pandas Coding 2.mp4

01:38

4. Pandas for time series analysis.mp4

05:13

5. Pandas Quiz.html

6. Matplotlib

1. Matplotlib Introduction.mp4

00:52

2. Matplotlib Coding.mp4

01:38

3. Matplotlib Quiz.html

7. Seaborn

1. Visualization of distributions.mp4

01:19

2. Visualization of statistical relationships.mp4

00:34

3. Plotting Categorical Data.mp4

01:00

4. Seaborn Quiz.html

8. Project 1

1. Project 1.mp4

09:27

9. Project 2

1. Project 2.mp4

06:12

10. How to build a project by yourself and share it

1. Where to find data.html

2. Where to share the projects.html

Description

Learn Python for Data Analytics

What You'll Learn?

Learn how to analyze data
Learn how to build a Data Analytics Project
Learn how to visualize data
Repeat the basics of statistics and python

Who is this for?

This course is for the people who is interested in data related roles, especially data analytics.

More details

Description
This is a data analysis course which we use Python and its libraries in order to clean, analyze and visualize our data. This course is for anyone who is interested in data analytics. You don't need to have any knowledge about python or statistics since we will be repeating these two at the beginning of the course. We will cover python libraries which is designed for data manipulation, data analysis, data visualization. Topics we are going to be covering:
-Fundamentals of Python
-Fundamentals of Statistics
-Pandas ( a Python Library designed for data cleaning, data analysis and data manipulation)
-MatplotlibÂ (a Python Library designed for data visualization)
-Seaborn (a Python Library designed for data visualization)
will be covered in the course. After this course; you can create and share data analysis projects, start learning about machine learning in order to becoming a data scientist or you can learn a business intelligence tool like Microsoft Power BI or Tableau in order to start your career in business analytics. General concepts and codes and their returns will be covered in this course. In all course process and finishing it i would love to answering your questions about data analysis, data science and other concepts. Feel free to contact to me via courses Q&A Section .
Who this course is for:
This course is for the people who is interested in data related roles, especially data analytics.

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A business analyst who is interested in data. Gave some courses online and looking for giving more courses. I try to simplify concepts in order to create efficient courses. I believe that if there is a simply way for understanding a concept, bringing complexity just leads to lose focus on that concept. Studied economics and trying to share my knowledge about data science and economics on Udemy. I create courses about statistics, data science and programming languages.

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