Description
This course introduces programming using Python and R, focusing on basic concepts. You will learn to write and execute code, use variables and data types, control program flow with conditional statements and loops, and perform basic input and output operations. By the end of this course, you will have a solid programming foundation and be able to apply your skills to solve real-world problems.
What You’ll Learn
- Introduction to Programming: Understand the basics of programming and its importance for data analysts.
- Variables and Data Types: Learn how to use variables and different data types in Python and R.
- Input and Output Operations: Perform basic input and output operations for data analysis.
- Conditional Statements: Control program flow with if-else statements for data filtering and analysis.
- Loops and Iterations: Use loops to process data efficiently.
- Functions: Write functions to transform and analyze data.
- Working with Lists: Manipulate data using lists.
- Working with Dictionaries: Organize data using dictionaries.
- File Handling: Handle files for data input and output in data analysis.
Career Prospects
- Data Analysts: Use programming skills to analyze and interpret data.
- Junior Programmers: Start a career in programming with a focus on data analysis.
- Data Scientists: Apply basic programming concepts to further data science studies.
After Completing the Course, You’ll Be Able To
- Write and execute code in Python and R.
- Utilize variables and data types effectively.
- Control program flow using conditional statements and loops.
- Perform data input and output operations.
- Develop functions for data transformation and analysis.
