Course Description

Senior Data Scientist

Emre Yazici

Emre is a passionate and highly-motivated data science professional with an extensive knowledge and experience in designing, implementing and leading data science and artificial intelligence projects. 

Course curriculum

  • 1

    Welcome

    • Welcome message from your Course Facilitator

  • 2

    Modul 1: Embarking on Data Science (Week 1)

    • Let's Meet-up (1)

    • Powerpoint Presentation of Meet-up 1

    • Let's Practice (1)

    • Let's Meet-up (2)

    • Powerpoint Presentation of Meetup 2

    • Let's Practice (2)

    • Action Learning

    • Meet your Mentor

    • Additional Resource (Part 1)

    • Additional Resource (Part 2)
  • 3

    Module Project 1

    • Module Project 1
  • 4

    Module 3: Basics of Data Analysis with Python (Week 5)

    • Intro to Python for Data Science

    • Let's Meet up

    • Let's Practice: A first Glance at Python Data Structures

    • Meet your Action Learning Group

    • Meet your Mentor
  • 5

    Module 3: Intermediate Data Analysis with Python (Week 6)

    • Intermediate Python for Data Science

    • Let's Meet up

    • Let's Practice: Visualize your Data

    • Meet your Action Learning Group

    • Meet your Mentor
  • 6

    Module 3: Data Scientist's Toolbox 1: Functions (Week 7)

    • Python Data Science Toolbox (Part 1)

    • Let's Meet up

    • Let's Practice: Super Classes

    • Meet your Action Learning Group

    • Meet your Mentor

  • 7

    Module 3: Data Scientist's Toolbox 2: Iterators & List comprehensions & Generators (Week 8)

    • Pyhton Data Science Toolbox Part (2)

    • Let's Meet up

    • Let's Practice: Transforming Data Structures

    • Meet your Action Learning Group

    • Meet your Mentor

  • 8

    Module Project 3

    • Module Project 3 (Week 9)
  • 9

    Module 4: Data Importing in Python (Week 10)

    • Importing Data in Python (Part 1)

    • Let's Meet up

    • Let's Practice: ETL (Extract Transform Load)

    • Meet your Action Learning Group

    • Meet your Mentor

  • 10

    Module 4: Importing Data in Python - API and Web (Week 11)

    • Importing Data (Part 2)

    • Let's meet up

    • Let's Practice: Exporting the Weather Data

    • Meet your Action Learning Group

    • Meet your Mentor

  • 11

    Module 4: Cleaning Data in Python (Week 12)

    • Cleaning Data in Python

    • Let's Meet up

    • Let's Practice: Data Cleaning with Python

    • Meet your Action Learning Group

    • Meet your Mentor
  • 12

    Module Project 4 (Week 14)

    • Module Project 4
  • 13

    Module 5: Manipulating DataFrames with pandas (Week 15)

    • Manipulating DataFrames with pandas

    • Let's Meet up

    • Let's Practice: Transfrom SQL into pandas

    • Meet your Action Learning Group

    • Meet your Mentor

  • 14

    Module 5: Combining and Merging DataFrames in pandas (Week 16)

    • Merging DataFrames with pandas

    • Let's Meet up

    • Let's Practice: Data Merging in a Real-Life Dataset

    • Meet your Action Learning Group

    • Meet your Mentor

  • 15

    Module 5: Understanding Relational Databases (Week 17)

    • Introduction to Databases

    • Let's Meet up

    • Let's Practice: Database normalization

    • Meet your Action Learning Group

    • Meet your Mentor

  • 16

    Module Project 5 (Week 18)

    • Module Project 5
  • 17

    Module 6: Learning the Basics of Data Visualisation (Week 19)

    • Introduction to Data Visualisation with Python

    • Let's Meet up

    • Let's Practice

    • Meet your Action Learning Group

    • Meet your Mentor

  • 18

    Module 6: Improving Data Visualisation Techniques (Week 20)

    • Interactive Data Visualisation with Bokeh

    • Let's Meet up

    • Let's Practice: Interactive Time-Series

    • Meet your Action Learning Group

    • Meet your Mentor

  • 19

    Module 6: Statistical Thinking (Part 1) (Week 21)

    • Statistical Thinking (Part 1)

    • Let's Meet up

    • Let's Practice: Customer Survey

    • Meet your Action Learning Group

    • Meet your Mentor

  • 20

    Module 6: Statistical Thinking (Part 2) (Week 22)

    • Statistical Thinking in Python (Part 2)

    • Let's Meet up

    • Let's Practice

    • Meet your Action Learning Group

    • Meet your Mentor

  • 21

    Module Project 6 (Week 23)

    • Module Project 6
  • 22

    Module 7: Supervised Learning (Week 24)

    • Supervised Learning with scikit-learn

    • Let's Meet up

    • Let's Practice: Will they leave?

    • Meet your Action Learning Group

    • Meet your Mentor

  • 23

    Module 7: Machine Learning (Week 25)

    • Machine Learning with the Experts: School Budgets

    • Let's Meet up

    • Let's Practice: What do they say?

    • Meet your Action Learning Group

    • Meet your Mentor

  • 24

    Module 7: Unsupervised Learning (Week 26)

    • Unsupervised Learning in Python

    • Let's Meet up

    • Let's Practice: Identifying the Groups of Customers

    • Meet your Action Learning Group

    • Meet your Mentor