Data Analysis with Python

What you'll learn

Understand the working environment of Python PyCharm and Jupyter Notebook
Understand basic python Coding tips, Getting Inputs from users, Variables and Data types
Understand python List, Sorting and how to create a Dataframe with pandas
Learn how to load and read various kinds of dataset into pandas
Create calculated columns and measures using pandas

Analyze results using arithmetic and logical functions
Work with date and percentage related task for data analysis
Explore the capabilities of Pandas Filters to extract specific information
Use pandas pivot table to critically analyze bulk data
Become a proficient data analyst with python

Description

Course Content

Reviews

In today's data-driven world, the ability to extract valuable insights from vast amounts of information is a highly sought-after skill. "Mastering Data Analysis with Python" is an immersive and comprehensive course designed to equip learners with the essential tools, techniques, and knowledge to excel in the field of data analysis using Python. 💻📊

🎓 Whether you are a beginner looking to enter the world of data analysis or an experienced professional seeking to enhance your skills, this course will empower you with a deep understanding of Python's data analysis ecosystem and enable you to tackle real-world data challenges with confidence. 🚀

The course starts with a solid foundation in Python programming, ensuring that even those with no prior coding experience can participate and thrive. As you progress, you will delve into the fundamental concepts of data analysis, learning how to effectively handle, clean, and preprocess data to ensure its quality and reliability. 🐍🔬🧹

With the basics in place, you will explore a wide range of powerful Python libraries and frameworks that are essential for data analysis. From popular libraries like Pandas and NumPy, you will gain hands-on experience in using these tools to manipulate, transform, and visualize data, enabling you to uncover meaningful patterns and trends. 📈📊📑

By the end of this course, you will have the expertise to confidently tackle complex data analysis tasks using Python. Whether you aspire to become a data analyst, data scientist, or simply want to harness the power of data for informed decision-making, "Mastering Data Analysis with Python" will set you on the path to success. 🎯🌟

Course Highlights:

➡️Python Fundamentals: Understand the Python-PyCharm working environment and basic python coding techniques

➡️Python Libraries: Learn how to use the basic python libraries for data analysis and visualizations

➡️Working with Pandas: Explore the capabilities of Pandas for basic and advance data analysis

➡️Python Logical & Arithmetic Functions: Learn and apply python logical and arithmetic functions to perform IF Statements, Result Analysis & Percentages

➡️Python Pivot Table: Explore the pandas pivot table capabilities to analyze data, reveal patterns and trends.

➡️Data Visualization: Use Python Matplotlib to visualize data.

➡️Python Projects: Deploy accumulated training skill to solve real life projects.

KEY QUESTIONS:

What are the course requirements?

Access to a laptop.

Will the certificate be issued?

Yes, a certificate of completion will be issued at the end of the course at No charge.

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Data Analysis With Python

27 lectures

Lesson Materials

5 minutes

1. Download and Installation (Python and PyCharm)

5 minutes

2. Introduction to Python Programming

13 minutes

3. Getting Inputs

13 minutes

4. Download and Installation of Anaconda

8 minutes

5. Working with Jupyter Notebook

7 minutes

6. Data Types

8 minutes

7. Variables

12 minutes

8. List

15 minutes

9. Sorting a List

5 minutes

10. Intro to Data Analysis with Pandas(Loading Data)

10 minutes

11. Basic Tips on Dataset with Pandas

15 minutes

12. Creating Columns and Saving Worked File

8 minutes

13. Result Analysis with Python

14 minutes

14. Percentages

19 minutes

15. Date Functions

12 minutes

16. Filters

15 minutes

17. Multiple Condition Filtering

21 minutes

18. Pivot Table

14 minutes

19. Sorting the Index (Month) Column

7 minutes

20. Introduction to Charts (Bar Chart)

10 minutes

22. Charts from Pivot Table

9 minutes

23. Line and Area Chart & Saving

4 minutes

24. Project Work A

14 minutes

25. Project Work B

17 minutes

26. Project Work C

12 minutes

21. Introduction to Charts(Pie)

6 minutes

Ezekiel Mensah

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This has been made simple and easy to learn for data analysis

Dianabasi Ini

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This has to be one of my best learning experiences so far. I applaud the simplicity, efficiency in delivery and lack of ambiguity . Great job guys.

Emmanuel Mawuko Ahadzi

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The course is a top notch, not to talk of the lecturer. I love it thank you.

IFOEGBUNA CHIAHA JONATHAN

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I really enjoyed the course. Bravo!

chinedu chukwuedon

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The lesson was effectively delivered

Ahamuefula Goodness

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easiest of Mr Awesome courses. great job man

Katebe Chapa

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Its a very interesting course with alot of data analysis tools

Ferenkeh Mansaray

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The content of the course is well organise and straight forward

Bassey Obongha

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Python made easy, Kudos to you Mr Awesome Emmanuel, I enjoyed your lectures.

Victor Rutto

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Excellent course. Learnt everyting from scratch. I can confidently analyze data using Python.

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The videos are efficiently compressed for quick downloads at any time.

How do I access the course videos and materials?

Once your payment is complete, you will have full access to the course lessons and materials. You can download and watch them at your convenience, and our team will provide full support and assistance throughout your learning journey.