Python Data Analysis - Learn how to do Data Analysis with Machine Learning, Python and ChatGPT

1 AI Simulations

20 Video

podcasts

11 resources

Content

6 chapters ・

32 steps・

15h 32m

Introduction to Data Analysis

5 steps・ 56m

In this first chapter you will learn what is Data Analysis and why it matters when we talk about data. We also define the difference between data engineers and data scientists.

Data Analysis – Wikipedia

25m

The complete data science roadmap

6m

Data engineer vs Data scientist

25m

Introduction to Business Intelligence

5 steps・ 1h

Business Intelligence (BI) refers to the strategies and technologies used by enterprises for data analysis of business information to support decision-making. In this chapter we start learning more about it and get introduce to Power BI by Microsoft.

What is Business Intelligence

10m

Microsoft Power BI Desktop for beginners

28m

How to create a forecast model in Power BI with Python

12m

9 Power BI alternatives

10m

Common basic Python data tools

5 steps・ 3h

A set of famous and very effective Python libraries you can use to manage and analyze data. Some of them are quite famous, while other might sound new.

Jupyter notebooks

25m

Learn Numpy in 5 minutes

14m

A gentle introduction to Pandas

39m

Pyplot tutorial

20m

Introduction to Plotly

29m

Statsmodels user guide

20m

NumPy vs SciPy

8m

SciPy user guide

25m

ChatGPT for Data Analysis

5 steps・ 1h 11m

It’s time to start experimenting with ChatGPT to work on data analysis. In this chapter you will learn how you can use ChatGPT to analyze data but also the PROs and CONs of this approach compared to classic methods.

Chat GPT explained in 5 minutes

5m

ChatGPT for Data analysis for beginners in 2024

14m

Is Excel dead? Meet the ChatGPT Data Analyst

10m

10x your code with ChatGPT

17m

AI Platforms like ChatGPT are easy to use but also potentially dangerous

25m

Machine learning for Data Science

5 steps・ 7h 41m

If you are exploring data analysis for the first time and you are a software engineer, you probably don’t need to learn all the specific of Machine Learning but understanding its fundamentals will give you lots of advantages.

How I’d learn machine learning in 2024

7m

Python machine learning tutorial

50m

Machine learning mathematics

30m

Learning Scikit-learn

4m

SciKit-Learn crash course

2h 9m

Various exercises in machine learning using Scikit-learn

1h

Data Scientist: help Uber keep up with future demand in tier-1 US cities

3h

Data Scientist: help Uber keep up with future demand in tier-1 US cities

Practice with AI Simulation

TensorFlow & Deep learning

5 steps・ 4h 44m

TensorFlow is an open-source library by Google for numerical computation and machine learning. It simplifies creating complex ML models, enhancing AI applications by enabling advanced data analyses and automation.

TensorFlow in 100 seconds

3m

TensorFlow 2.0 crash course

2h 13m

All learning algorithms explained in 14 minutes

14m

TensorFlow examples

1h

Build a deep learning model that can lip read

1h 14m

About this path

Unlock the power of data with our comprehensive Python Data Analysis Skill Path, designed for those eager to master the art of extracting actionable insights from raw data. This Skill Path will guide you through the nuances of data analysis, starting with the basics of Python programming and leading up to sophisticated Machine Learning techniques and AI-driven analytics with ChatGPT.

Whether you are looking to boost your career, spearhead data-driven projects, or simply gain a competitive edge in the digital economy, this Skill Path provides all the tools you need to become proficient in Python data analysis and beyond. Enroll now and start transforming data into powerful insights that drive decisions.