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Course Details:
Concepts Covered:
- Read and explore documentation
- Inspect files
- Perform basic text processing
- Define different kinds of output
- Redirect and pipe output
- Employ streams and file descriptors
Course Details:
Concepts Covered:
- Employ the command line for Data Science
- Define Important command line concepts
- Modify the behavior of commands with options
- Navigate the filesystem
- Employ glob patterns and wildcards
- Manage users and permissions
Course Details:
Concepts Covered:
- Clean and manipulate text data using regular expressions
- Employ lambda functions and list comprehension with pandas
- Resolve missing data
Course Details:
Concepts Covered:
- Analyze data using SQL
- Organize data using SQL
- Write SQL queries to estimate summary statistics
Course Details:
Concepts Covered:
- Employ data aggregation techniques
- Combine datasets
- Transform and reshape data
- Clean strings and resolve missing data
Course Details:
Concepts Covered:
- Use different aesthetics of a plot to tell a story.
- Create attractive and conditional plots using Seaborn.
- Visualize geographic data using Basemap.
Course Details:
Concepts Covered:
- Line Charts
- Multiple plots
- Bar Plots And Scatter Plots
- Histograms And Box Plots
Course Details:
Concepts Covered:
- Introduction to NumPy
- Boolean Indexing with NumPy
- Introduction to pandas
- Exploring Data with Pandas: Fundamentals
- Exploring Data with Pandas: Intermediate
Course Details:
Concepts Covered:
- Cleaning and Preparing Data in Python
- Python Data Analysis Basics
- Object-Oriented Python
- Working with Dates and Times in Python
Course Details:
Concepts Covered:
- Programming in Python
- Variables and Data Types
- Lists and For Loops
- Conditional Statements