-
Section # 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.
1-
Welcome to the Data Scientist Career PathLecture1.1
-
-
Section # 2
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.
1-
Getting Started with Data ScienceLecture2.1
-
-
Section # 3
Learn the fundamentals of Python from syntax to modules.
1-
Python FundamentalsLecture3.1
-
-
Section # 4
1-
Python Portfolio ProjectLecture4.1
-
-
Section # 5
1-
Data AcquisitionLecture5.1
-
-
Section # 6
1-
Data Manipulation with PandasLecture6.1
-
-
Section # 7
1-
Data Wrangling and TidyingLecture7.1
-
-
Section # 8
1-
Summary StatisticsLecture8.1
-
-
Section # 9
1-
Hypothesis TestingLecture9.1
-
-
Section # 10
1-
Data VisualizationLecture10.1
-
-
Section # 11
1-
Data Visualization Portfolio ProjectLecture11.1
-
-
Section # 12
1-
Communicating Data Science FindingsLecture12.1
-
-
Section # 13
1-
Data Analysis Portfolio ProjectLecture13.1
-
-
Section # 14
1-
Natural Language ProcessingLecture14.1
-
-
Section # 15
1 -
Section # 16
1 -
Section # 17
1-
Foundations of Deep LearningLecture17.1
-
-
Section # 18
1-
SQL for Interview PrepLecture18.1
-
-
Section # 19
1-
Data Scientist Final Portfolio ProjectLecture19.1
-
-
Section # 20
1-
Next StepsLecture20.1
-
This content is protected, please login and enroll course to view this content!
Facebook
Google