Introduction to Data Science
- Offered byLinkedin Learning
Introduction to Data Science at Linkedin Learning Overview
Duration | 2 hours |
Mode of learning | Online |
Credential | Certificate |
Introduction to Data Science at Linkedin Learning Highlights
- Earn a certificate of completion from LinkedIn Learning
Introduction to Data Science at Linkedin Learning Course details
- In the following chapters, Lavanya focuses on practical techniques such as exploratory data analysis, data cleaning, and data visualization
- Finally, learn about sampling, testing, and classification
- By the end of the course, you will have the knowledge you need to perform basic data analysis and reporting, and unlock opportunities to accelerate your career in this exciting field
Introduction to Data Science at Linkedin Learning Curriculum
Introduction
Beginning your data science exploration
Defining Data Science
What is data science?
Why data science?
Data Science Life Cycle
What is the data science life cycle?
Data Design
Probability sampling
Computational Tools
Python vs. R
Set up the environment: Jupyter
Tabular Data
What is tabular data?
Reading tabular data
Gathering insights
Answering specific questions
Exploratory Data Analysis
What is exploratory data analysis?
Statistical data types
Properties of data
Data Cleaning
What is data cleaning?
Questions to ask before cleaning
Data Visualization
What is data visualization?
Visualize qualitative data
Visualize quantitative data
Inference
What is inference?
Design a hypothesis test
Conduct a permutation test
Bootstrap a confidence interval
Classification
What is classification?
Intro to k-Nearest Neighbor algorithm
Conclusion
Next steps
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