Mastering Data Analytics and Visualisation with Python

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Moe Hamdan

7:24:34

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1. Introduction

1.1 Python for Data Analytics.pdf

1. The Course.mp4

04:46

2. Resources.html

2. Python Setup

1.1 Download Anaconda.html

1. Installing Anaconda.mp4

01:31

2.1 python setup-copy1.zip

2.2 python setup.zip

2. Notebooks.mp4

03:51

3.1 Markdown Guide.html

3.2 styling notebooks.zip

3. Styling Notebooks.mp4

10:27

3. Python Basics

1.1 how python works.zip

1. How Python Works.mp4

06:29

2.1 different data types.zip

2. Different Data Types.mp4

08:24

3.1 functions for data types.zip

3. Functions for Data Types.mp4

09:01

4.1 assignments.zip

4. Assignments.mp4

03:03

5.1 comparisons.zip

5. Comparisons.mp4

04:35

6.1 print.zip

6. Print.mp4

07:59

7.1 if loops.zip

7. If Loops.mp4

16:24

8.1 while loops.zip

8. While Loops.mp4

10:12

9.1 for loops.zip

9. For Loops.mp4

08:20

10.1 lists.zip

10. Lists.mp4

17:23

11.1 dictionaries.zip

11. Dictionaries.mp4

13:29

12.1 maths functions.zip

12. Maths Functions.mp4

13:57

13.1 string functions.zip

13. String Functions.mp4

11:03

14.1 number functions.zip

14. Number Functions.mp4

10:20

15.1 importing libraries.zip

15. Importing Libraries.mp4

23:23

16.1 commenting.zip

16. Commenting.mp4

05:10

17. Python Basics Test.html

4. Numpy

1.1 numpy basics.zip

1. Numpy Basics.mp4

08:28

2.1 slices.zip

2. Slices.mp4

08:11

3.1 copies and views.zip

3. Copies and Views.mp4

06:13

4.1 iterating.zip

4. Iterating.mp4

04:08

5.1 join and split.zip

5. Join and Split.mp4

09:10

6.1 search and sort.zip

6. Search and Sort.mp4

14:54

7.1 random numbers.zip

7. Random Numbers.mp4

10:11

8. Numpy Test.html

5. Pandas

1.1 pandas dataframes.zip

1. Pandas Dataframes.mp4

08:01

2.1 reading csv files.zip

2.2 sales.csv

2. Reading CSV Files.mp4

06:14

3.1 sales.csv

3.2 view data.zip

3. View Data.mp4

19:57

4.1 incomplete data.zip

4.2 incomplete.csv

4. Incomplete Data.mp4

10:55

5.1 duplicates.csv

5.2 duplicates.zip

5. Duplicates.mp4

03:16

6.1 dropping rows.zip

6.2 sales.csv

6. Dropping Rows.mp4

10:22

7.1 column calculations.zip

7.2 incomplete.csv

7. Column Calculations.mp4

06:17

8.1 changing values.zip

8.2 sales.csv

8. Changing Values.mp4

07:16

9.1 iterating through rows.zip

9.2 sales.csv

9. Iterating Through Rows.mp4

07:12

10.1 adding new columns.zip

10.2 sales.csv

10. Adding New Columns.mp4

11:38

11.1 customers1.csv

11.2 customers2.csv

11.3 joining datframes.zip

11.4 orders.csv

11. Joining dataframes.mp4

08:18

12.1 customers1.csv

12.2 customers2.csv

12.3 merge no index.csv

12.4 merge.csv

12.5 merge.zip

12.6 orders.csv

12.7 writing to files.zip

12. Writing to Files.mp4

03:08

13. Pandas Test.html

6. Matplotlib

1.1 line graphs.zip

1. Line Graphs.mp4

29:35

2.1 grids and subplots.zip

2. Grids and Subplots.mp4

13:18

3.1 scatter plots.zip

3. Scatter Plots.mp4

16:22

4.1 bar graphs.zip

4. Bar Graphs.mp4

04:00

5.1 pie charts.zip

5. Pie Charts.mp4

10:04

6.1 cities.zip

6.2 data.csv

6.3 using pandas and saving.zip

6. Using Pandas and Saving.mp4

13:40

7. Matplotlib Test.html

7. Conclusion

1.1 Matplotlib.html

1.2 Pandas.html

1.3 Stack Overflow.html

1. Helpful Resources.mp4

03:59

2. Bonus.html

Description

From Novice to Ninja - Master Data Analytics with Python and Visualisation extract Actionable Insights from Data

What You'll Learn?

Learn the basics of python for data analytics
Learn how to use Numpy lists to manipulate data in lists
Learn how to utilise Pandas dataframes to read data, analyse it and write it to files
Learn how to use Matplotlib to create customisable visualisations
Learn how to make the most out of python to extract actionable insights from their data
Take the next step in boosting your career by learning the most powerful programming language for data analytics

Who is this for?

Data analysts looking to learn how to utilise python to analyse data

Data analysts who want to learn how to use python to create data visualisations

What You Need to Know?

Some python programming will be advantageous

An interest in data analytics

Some knowledge of maths and statistics will help

More details

Description
Unlock the power of data analytics with Python in this comprehensive course designed to equip you with the essential skills needed to thrive in the data-driven world. Whether you're a beginner or an experienced coder, this course will empower you to harness the potential of Python for data analysis.

Key Topics Covered:

Python Basics:
Lay a solid foundation by delving into Python's fundamental concepts. You'll grasp the essentials, such as variables, data types, loops, and functions, setting the stage for more advanced data analysis techniques.
Numpy:
Explore how to leverage NumPy, a fundamental library for numerical operations in Python. Discover how to efficiently store and manipulate data arrays, enabling you to perform complex calculations effortlessly.
Pandas:
Dive into the world of Pandas, the go-to library for data manipulation and analysis. Learn to read, clean, and transform data effortlessly, and uncover the power of data frames for data representation.
Matplotlib:
Master the art of data visualization with Matplotlib. This section equips you with the skills to create stunning custom-designed visualizations, turning raw data into insightful charts and graphs.
By the end of this course, you will have the expertise to:
Use Python confidently for data analysis tasks.
Harness the capabilities of NumPy for efficient data manipulation.
Perform data analysis, cleaning, and transformation using Pandas.
Create visually appealing and customized data visualizations with Matplotlib.

Whether you are a data enthusiast, aspiring data scientist, or a professional seeking to enhance your analytical skills, this course provides a comprehensive roadmap to data analytics success with Python. Enroll now and embark on your journey to becoming a proficient data analyst with Python.

Don't miss out on this opportunity to boost your data analytics skills. Enroll today and unlock a world of data-driven insights with Python!
Who this course is for:
Data analysts looking to learn how to utilise python to analyse data
Data analysts who want to learn how to use python to create data visualisations

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As a data analyst with over 9 years of experience, working with the likes of Google, Meta, Sony Music and DeepMind. I’m creating a suite of courses that will help any aspiring data analyst learn the skills and tools they need to boost their career in a fraction of the time and at a fraction of the cost.I’ve put together the key elements of what is needed to succeed in the real world, this isn’t about theory but practical ways to apply what you learn to help extract actionable insights from data.I’ve helped companies grow using their data and I’ve also worked with individuals to help them boost their careers with the rights training. Now I’m making this accessible to everyone.

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