Data Analysis with Python
Explore the world of data analysis with Python through this comprehensive course, Gain hands-on experience in manipulating, visualizing, and interpreting data, empowering you to make informed decisions in any field
Why Choose This Training Course?
This course offers a straightforward and hands-on approach to data analysis using Python. In just three days, participants will learn the most essential skills and methods. It is designed to be practical and immediately useful in the workplace.
Participants will be guided through best practices and different methods to make the learning journey more efficient. Examples and case studies will be tailored to the industry and job functions of participants.
The Learning Outcomes
By the end of this course, participants will be able to:
Course Content
Data Wrangling and Cleaning
1. Introduction to Data Analysis with Python
2. Importing and Cleaning Data
3. Data Transformation and Preparation
4. Data Validation and Cleaning Techniques
Exploratory Data Analysis (EDA)
1. Understanding Data Distributions
2. Identifying Patterns and Relationships
3. Handling Outliers and Anomalies
4. EDA with Visualization Libraries
Statistical Analysis and Hypothesis Testing
1. Introduction to Statistical Analysis
2. Simple hypothesis testing to validate your insights
3. Creating Basic Visualizations
4. Building a basic report or presentation with your findings
Course Delivery
Get ready for an interactive learning experience designed to engage participants actively. The primary goal is to ensure that the participants not only grasp the theory but also gain hands-on experience in applying data analysis techniques.
By the end of the course, participants be equipped to confidently use Python for practical data analysis tasks in work projects.
Course prerequisites
- Basic knowledge of Python
- Basic knowledge of statistical principles
This training course is suitable for a wide range of professionals, including, but not limited to:
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