Data Analytics using Python
What is Python for Data Analytics
Python is one of the most popular programming languages in the world. No prior coding experience is required; you’ll start from scratch and learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.
You’ll begin your data analyst training with interactive exercises and get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more. You’ll learn why Python for data analysis is so popular and work with real-world datasets to grow your data manipulation and exploratory data analysis skills. As you progress through the courses, you’ll cover topics such as data manipulation and joining data. You’ll also learn key statistics skills, like hypothesis testing. Get started today, grow your Python skills, and begin your journey to becoming a confident data analyst.
PYTHON PROGRAMMING FOR DATA ANALYSIS
Course Outline
- Introduction to Programming
- Python programming language
- Print statement
- Literals
- Variables
- Data types
- Conditionals (if statements)
- Loops (for and while loop)
- string
- List
- Tuple
- Set
- Dictionary
- Error handling
- Reading and writing files
- Functions
- Classes
- Working with Pandas and Numpy
- Numpy arrays
- Panda series
- Panda Dataframe
- Pandas read_csv
- Data exploration with pandas
- Data cleaning with pandas
- Data aggregation with pandas
- Data visualization with matplotlib
Python Data Analytics will give you an edge in the industry, making you stand out in the analysis of Big Data.
A good grasp for Python Data Analytics can prepare you for applications of Python in areas of software development and Machine Learning
Companies are greatly looking out for persons with this skill.
To get started :
Pay the Course FEES: N100,000
No more N150,000, if you enroll now
Take hands- on classes offline at our center in Port Harcourt:
Myteacher Institute Tessy school junction Rumuagholu off Rumuokoro flyover Port Harcourt
