Section # 1 1

Start off with an overview of what you'll cover in the Data Scientist Career Path, projects you'll build, and resources you'll benefit from.

• Lecture1.1
  Welcome to the Data Scientist Career Path

Section # 2 1

Start with a quick introduction to Data Science: what it is, how it works, and how it's shaping the future of the technology industry.

• Lecture2.1
  Getting Started with Data Science

Section # 3 1

Learn the fundamentals of Python from syntax to modules.

• Lecture3.1
  Python Fundamentals

Section # 4 1

• Lecture4.1
  Python Portfolio Project

Section # 5 1

• Lecture5.1
  Data Acquisition

Section # 6 1

• Lecture6.1
  Data Manipulation with Pandas

Section # 7 1

• Lecture7.1
  Data Wrangling and Tidying

Section # 8 1

• Lecture8.1
  Summary Statistics

Section # 9 1

• Lecture9.1
  Hypothesis Testing

Section # 10 1

• Lecture10.1
  Data Visualization

Section # 11 1

• Lecture11.1
  Data Visualization Portfolio Project

Section # 12 1

• Lecture12.1
  Communicating Data Science Findings

Section # 13 1

• Lecture13.1
  Data Analysis Portfolio Project

Section # 14 1

• Lecture14.1
  Natural Language Processing

Section # 15 1

• Lecture15.1
  Foundations of Machine Learning: Supervised Learning

Section # 16 1

• Lecture16.1
  Foundations of Machine Learning: Unsupervised Learning

Section # 17 1

• Lecture17.1
  Foundations of Deep Learning

Section # 18 1

• Lecture18.1
  SQL for Interview Prep

Section # 19 1

• Lecture19.1
  Data Scientist Final Portfolio Project

Section # 20 1

• Lecture20.1
  Next Steps