Python for Data Analytics

Focused View

Onur Baltacı

45:31

173 View

1. Before starting to the course

1. Before Starting.html

2. Statistics fundamentals (fast repeat)

1. About this section of the course.html

2. Statistics & Data.mp4

02:25

3. Data Types & Measurement Levels.mp4

01:02

4. Population and Sample.mp4

02:11

5. Mean & Mode & Median & Standard Deviation & Variance.mp4

01:39

6. Range - Interquile Range ( IQR ).mp4

01:01

7. Z Value.mp4

01:14

8. Confidence Interval.mp4

00:58

9. Hypothesis Testing & T Distrubiton.mp4

01:43

10. Hypothesis Testing & Decision on Test.mp4

01:13

3. Python enviroment will be used in the course

1. Google Colab & Jupyter Notebook.html

4. Python fundamentals (fast repeat)

1. About this section of the course.html

2. Print Function.mp4

01:20

3. Comments.mp4

00:43

4. Operators.mp4

01:34

5. Booleans.mp4

00:48

6. List & List Operations.mp4

02:01

7. Tuples.mp4

00:32

8. If Statements.mp4

02:08

9. While Loop.mp4

01:32

10. For Loop.mp4

00:57

5. Pandas

1. Pandas Introduction.mp4

06:09

2. Pandas Coding 1.mp4

01:49

3. Pandas Coding 2.mp4

01:38

6. Matplotlib

1. Matplotlib Introduction.mp4

00:52

2. Matplotlib Coding.mp4

01:38

7. Seaborn

1. Visualization of distributions.mp4

01:19

2. Visualization of statistical relationships.mp4

00:34

3. Plotting Categorical Data.mp4

01:00

8. Project 1 (Visualizations with matplotlib)

1. Project 1.mp4

02:46

9. Project 2 (Visualizations with seaborn)

1. Project 2.mp4

02:45

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.

What You Need to Know?

No programming experience needed. We will repeat statistics and python fundamentals together.

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.

User Reviews

Rating

average 0

Total votes0

Focused display

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.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.