Data Analytics and Visualization with Python
About This Course
Expand your knowledge in data analytics and visualization with our WSQ-endorsed course focused on Python. Dive into key topics like data manipulation, statistical analysis, and visualization techniques using Python's powerful libraries. Through practical exercises and real-world examples, you'll learn to transform raw data into actionable insights and visual narratives that are compelling and easy to understand.
By the end of this course, you'll be adept at leveraging Python for advanced data analytics and visualization tasks. Whether you're a data scientist, business analyst, or someone interested in generating insights from data, this course will provide you with the tools and skills to make impactful, data-driven decisions.
What You'll Learn
- prepare data for analysis
- transform data for analysis
- gain insights from data visualization
- perform statistical data analysis and time series analysis
- perform advanced data analysis to interpret results
Course Outline:
Topic 1 Data Preparation
Data Analytics with Pandas
Pandas DataFrame and Series
Import and Export Data
Filter and Slice Data
Clean Data
Topic 2 Data Transformation
Join Data
Transform Data
Aggregate Data
Topic 3 Data Visualization
Data Visualization with Matplotlib and Seaborn
Visualize Statistical Relationships with Scatter Plot
Visualize Categorical Data with Bar Plot
Visualize Correlation with Pair Plot and Heatmap
Visualize Linear Relationships with Regression
Topic 4 Data Analysis
Statistical Data Analysis
Time Series Analysis
Topic 5 Advanced Data Analytics
Data Piping
Groupby and Apply Custom Functions
Linear Regression
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old