Course curriculum

    1. 1 Welcome to TovTech

    2. 2 Introduction to Python

    1. 3 (a) AI Python for Beginners: Basics of using AI for Python Coding

    2. 3 (b) AI Python for Beginners: Automating Tasks with Python

    3. 3 (c) Intermediate Python

    4. 4 Introduction to DataCamp Projects

    5. 5 Investigating Netflix Movies and Guest Stars in The office

    6. 6 (a) Data Manipulation with pandas

    7. 6 (b) AI Python for Beginners: Working with Your Own Data and Documents in Python

    8. 6 (c) AI Python for Beginners: Extending Python with Packages and APIs

    9. 7 Datacamp workspace - overview

    10. 8 Introduction to Kaggle

    11. 9 Working with Kaggle, additional explanation

    12. 10 (a) Pandas Section 1 Exercise 1

    13. 10 (b) Giving a Kaggle notebook internet access

    14. 10 (c) Pandas Section 1 Exercise 2

    15. 10 (d) Pandas Section 1 Exercise 3

    16. 11 (a) Pandas Section 2 Exercises

    17. 11 (b) Pandas Section 3 Exercises

    18. 12 Joining Data with pandas

    19. 13 Pandas Exercises from Kaggle

    20. 14 Analyzing Police Activity with pandas

    21. 15 Mid-Course Pandas Evaluation

    22. 16 Pandas 1 Survey

    1. 17 Pandas Exercises (4,5,6,7)

    2. 18 The Android App Market on Google Play

    3. 19 Python Data Science Toolbox (Part 1)

    4. 20 Python Data Science Toolbox (Part 2)

    5. 21 (Assessment) python-programming

    6. 22 Python Fundamentals Completed

    7. 23 Pandas Exercises (optional)

    8. 24 Data Cleaning in Kaggle

    9. 25 Introduction to Data Visualization with Plotly in Python (optional)

    10. 26 Instruction TovTech Analytics and other projects (optional)

    11. 27 Introduction to Statistics (optional)

    12. 28 Pandas 2 Survey

    1. 29 Introduction to Statistics in Python

    2. 30 (Video) Exploratory Data Analysis with Python

    3. 31 Exploratory Data Analysis in Python

    4. 32 The GitHub History of the Scala Language

    5. 33 (Assessment) Data Manipulation with Python (optional)

    6. 34 Advanced Kaggle & EDA Project

    7. 35 (Code-Along) Exploratory Data Analysis in Python

    8. 36 Exploring Air Force Personnel Data with Python

    9. 37 Exploratory Data Analysis Project (EDA)

    10. 37 (b) Create a public GitHub repository for your EDA project.

    11. 37 (c) Build Your EDA Project's LinkedIn Post

    12. 38 Introduction to product management - Part I

    13. 39 Introduction to product management - Part 2

    14. 40 Pandas 3 Survey

    1. 41 Introduction to SQL

    2. 42 Intermediate SQL

    3. 43 (Code-Along) Using Joins to Analyze Book Sales in SQL

    4. 44 Analyzing Students' Mental Health in SQL

    5. 45 Joining Data in SQL

    6. 46 Data Manipulation in SQL

    7. 47 PostgreSQL Summary Stats and Window Functions

    8. 48 Functions for Manipulating Data in PostgreSQL

    9. 49 Database Design

    10. 50 (Assessment) Data Analysis in SQL (PostgreSQL)

    11. 51 (Code-Along) Supermarket Transaction Analysis in SQL

    12. 52 Exploratory Data Analysis Project (EDA) with SQL

    13. 53 SQL Survey

    1. 54 (a) AI Business Fundamentals

    2. 54 (b) Introduction to Generative AI

    3. 54 (c) Understanding Prompt Engineering

    4. 55 Working with the OpenAI API

    5. 56 ChatGPT Prompt Engineering for Developers

    6. 57 Introduction to Embeddings with the OpenAI API

    7. 58 (a) Developing LLM Applications with LangChain

    8. 59 ChatGPT Prompt Engineering for Beginners

    9. 60 (a) Deep Dive into LLMs like ChatGPT (optional)

    10. 60 (b) Prompt Design in Vertex AI

    11. 61 AI Survey

About this course

  • Free
  • 74 lessons
  • 3 hours of video content

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