Python for Data Analysis: Projects to Power Your Resume

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Dee Naidoo

9:16:41

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1. Introduction to the Course and Installation

1.1 Python for Data Analysis- Essential Files.zip

1. Introduction to the Course.mp4

03:31

2. Install Python and Anaconda on Windows.mp4

04:32

3. Install Python and Anaconda on Mac.mp4

04:34

4. Accessing the materials needed for the course.html

2. Introduction to Spyder and Python

1. Introduction to Spyder.mp4

02:44

2. Basic Run Through of Python.mp4

10:14

3. Basic Foundations of Python.mp4

18:23

4. Basics of Python Quiz.html

5. Exploring Basic Python Structures.html

3. Introduction to Numpy

1. Introduction to Numpy.mp4

09:51

2. Calculating Statistics with Numpy.mp4

10:02

3. Indexing and Slicing with Numpy.mp4

07:04

4. Numpy Overview.html

5. Practical NumPy Analyzing and Manipulating Data.html

4. Introduction to Pandas

1. Introduction to Pandas.mp4

02:46

2. Accessing Data in a DataFrame.mp4

11:03

3. Grouping and Aggregating Data with DataFrames.mp4

04:55

4. How to Merge DataFrames.mp4

08:40

5. Pandas Overview.html

6. Practical Pandas Dataframe Operations and Analysis.html

5. Project 1 Analyzing Amazon Sales Data

1.1 Amazon Sales Project.zip

1.2 Slides and Project Brief Python for Data Analysis.pdf

1. Analyzing Amazon Sales Data - Introduction.mp4

03:47

2.1 Amazon Sales Project.zip

2.2 Slides and Project Brief Python for Data Analysis.pdf

2. Importing, Exploring and Cleaning Data.mp4

14:40

3. Aggregating Sales Data.mp4

14:54

4. Renaming Columns and Exporting Data.mp4

05:15

5. Uploading code to Github.mp4

05:19

6. Testing what youve learned in Project 1.html

7. Exploring Sales Data with Pandas.html

6. Project 2 Analyzing E-commerce Orders

1.1 Ecommerce Orders Project.zip

1. Analyzing E-commerce Orders - Introduction.mp4

03:07

2.1 Ecommerce Orders Project.zip

2. Setting the Working Directory in Python.mp4

03:38

3. Loading Data Files and Checking Data Quality.mp4

08:45

4. Handling Missing Values in Python.mp4

08:31

5. Checking for Duplicate Data.mp4

04:57

6. Filtering Data on Python.mp4

11:06

7. Merging and Joining DataFrames.mp4

05:14

8. Creating Data Visualizations.mp4

18:22

9. Editing and Customizing Plots in Python.mp4

07:06

10. Creating a Scatter Plot.mp4

11:07

11. Creating a Stacked Bar Chart.mp4

07:28

12. Creating Boxplots on Python.mp4

06:53

13. Creating Subplots in Python.mp4

09:18

14. Test your Project 2 Knowlege.html

15. Exploring and Visualizing E-commerce Data with Pandas and Matplotlib.html

7. Project 3 Analyzing Pizza Sales

1.1 Pizza Sales Project.zip

1.2 Slides and Project Brief Python for Data Analysis.pdf

1. Analyzing Pizza Sales and Importing Data.mp4

08:45

2.1 Pizza Sales Project.zip

2.2 Slides and Project Brief Python for Data Analysis.pdf

2. Exploring Data Frames and Descriptive Statistics.mp4

08:41

3. Dealing with Rows and Columns in Pandas.mp4

06:23

4. Understanding Indexing in DataFrames.mp4

03:20

5. Truncating DataFrames and Series in Python.mp4

04:56

6. Filtering DataFrames.mp4

24:20

7. Working with missing data.mp4

06:46

8. Deleting specific rows and columns in a DataFrame.mp4

09:32

9. Sorting DataFrames.mp4

08:00

10. Grouping on Python.mp4

21:43

11. Merging and Concatenating in Python.mp4

22:16

12. Changing cases in Python.mp4

06:05

13. Replacing text in Dataframe Columns.mp4

04:09

14. Removing Whitespaces from Columns.mp4

03:02

15. Generating a boxplot.mp4

07:02

16. Project Closeoff.mp4

00:30

17. Test your Project 3 Knowledge.html

18. Practical Data Manipulation and Visualization in Python.html

8. Project 4 Loan Analysis Overview

1.1 Loan Analysis Project.zip

1.2 Slides and Project Brief Python for Data Analysis.pdf

1. Loan Analysis Overview - Introduction.mp4

07:23

2.1 Loan Analysis Project.zip

2.2 Slides and Project Brief Python for Data Analysis.pdf

2. Importing Data on Python.mp4

07:57

3. Joining Data on Python.mp4

05:43

4. Steps to clean data in Python.mp4

05:43

5. Introduction to Functions in Python.mp4

06:05

6. Creating a Function on the Loan Dataset.mp4

09:06

7. Conditional Statements on Python.mp4

05:02

8. Practical Application of Functions and Conditions.mp4

18:02

9. Working with Conditional Statements and Averages in Functions.mp4

09:49

10. Classes in Python.mp4

14:33

11. Data Visualizations on Python.mp4

19:53

12. Quick Overview of Subplots in Python.mp4

04:42

13. Test your Project 4 Knowledge.html

14. Python Data Analysis and Object-Oriented Programming Exercise.html

9. Project 5 Sentiment Analysis

1.1 Sentiment Analysis Project.zip

1.2 Slides and Project Brief Python for Data Analysis.pdf

1. Sentiment Analysis - Introduction.mp4

04:26

2.1 Slides and Project Brief Python for Data Analysis.pdf

2. Loading and Reviewing Data.mp4

08:36

3. Detecting Languages and using try and except.mp4

09:24

4. Cleaning Text Data.mp4

06:15

5. Developing a sentiment function.mp4

06:53

6. Creating a Wordcloud.mp4

10:53

7. Creating a countplot for sentiment.mp4

02:41

8. Testing your Project 5 Knowledge.html

10. Conclusion

1. Conclusion.mp4

00:19

Description

Master Python for Data Analysis: Dive into Pandas, Visualization, and Real-World Projects to add to your Resume!

What You'll Learn?

Complete hands-on projects analyzing real-world data, such as e-commerce sales and social media sentiments.
Master basic Python syntax and data types, setting a strong foundation for advanced data analysis.
Effectively manipulate and clean data using Pandas, preparing for real-world data analysis projects.
Create powerful data visualizations with Matplotlib and Seaborn to derive insights from datasets.
Understand and apply Python's advanced structures like lists, tuples, sets, and dictionaries in data analysis.
Gain introductory knowledge in machine learning, focusing on applications in sentiment analysis.
Develop a portfolio of practical Python projects, demonstrating skills to potential employers in data analysis.

Who is this for?

This course is for anyone who wants to kickstart their career in Data Analytics

This course is for anyone who wants to learn more about Python

This course is for anyone who wants to learn more about programming languages

This course is for anyone who wants to learn more about data visualizations

This course is for anyone who wants to create a portfolio of coding projects for their resume.

What You Need to Know?

Basic Knowledge of Computers

Internet

More details

Description
Launch Your Data Analysis Journey with Real Python Projects!
Welcome to an exhilarating ride through the world of Python data analysis, where each line of code you write brings you closer to becoming a data wizard! Learning python can be hard, I've been there. I've designed this course so you learn in practically and complete 5 projects using real data.Â These projects will look GREAT on your resume!
Why Python? Python is not just a programming language; it's a gateway to a universe of possibilities in data analysis, machine learning, and beyond. It's versatile, user-friendly, and, most importantly, in high demand across industries!
My Unique Approach: Practical, Project-Based Learning
Practical and Hands-On: Forget about dull lectures! Dive head-first into coding exercises and real data challenges.
Project-Based Brilliance: Each module introduces a project tied to a real-world scenario, helping you build a portfolio that speaks louder than words.
Resume-Ready Projects: Walk away with a portfolio packed with projects like analyzing Amazon sales, dissecting e-commerce patterns, and even getting insights from social media data on trending topics like ChatGPT.
Real Data, Real Skills: Work with datasets from actual businesses, learning to clean, manipulate, and visualize data just like a pro data analyst.
What's Inside the Course?
Python Basics: The ABCs of Python, including syntax, variables, and loops, to solidify your coding foundation.
Data Analysis Tools: Become a Pandas powerhouse and a maestro of data manipulation and cleaning.
Advanced Python Structures: Lists, tuples, sets, dictionaries â€“ handle them all with finesse!
Data Visualization: Paint stories with data using Matplotlib and Seaborn.
Introduction to Machine Learning: Dip your toes into the future with sentiment analysis.
Comprehensive Curriculum: Covering everything from Python introduction to advanced data analysis techniques.
Interactive Coding Exercises: Cement your learning with engaging, hands-on coding challenges.
Who Is This Course For?
Aspiring data analysts looking to jumpstart their careers.
Python enthusiasts eager to apply their skills to real-world projects.
Anyone looking to add high-impact projects to their portfolio.
Career switchers aiming to break into the data science and analytics field.
Your Learning Journey
Each step on this journey equips you with critical skills. You'll not just learn Python; you'll think, analyze, and solve problems like a seasoned data analyst. And by the end of this course, you'll have a portfolio that opens doors and a skill set that turns heads.
Enroll now and transform from Python learner to Python developer!
Who this course is for:
This course is for anyone who wants to kickstart their career in Data Analytics
This course is for anyone who wants to learn more about Python
This course is for anyone who wants to learn more about programming languages
This course is for anyone who wants to learn more about data visualizations
This course is for anyone who wants to create a portfolio of coding projects for their resume.

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Hello, I'm Dee! I am a Chemical Engineer specializing in Data Analytics.I've been using Tableau daily for the past couple of years. I love creating visualizations and letting the data speak for itself.Other than that, I love food, movies rated less than 5/10 on IMDB and escape rooms. I sound like a major nerd until I tell you that my favourite music is Rap. I adore a great view, hate raw onions, and I think that pineapple on pizza is the best combo ever!

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