July 2025 Cohort - Data Analytics (Python)
Unlock your data analysis potential with our comprehensive course covering Advanced Excel, SQL, Power BI, and Python. Master data manipulation, visualization, a...
Unlock your data analysis potential with our comprehensive course covering Advanced Excel, SQL, Power BI, and Python. Master data manipulation, visualization, a...
Unlock Your Data Analysis Potential with Our Comprehensive Course
Our data analytics course is designed to help you unlock your data analysis potential by mastering Advanced Excel, SQL, Power BI, and Python. With this comprehensive course, you'll learn how to manipulate, visualize, and analyze data to drive business insights and informed decision-making.
Course Overview
In this course, you'll learn the fundamentals of data analysis, including data cleaning, processing, and visualization. You'll also learn how to use Advanced Excel, SQL, Power BI, and Python to work with data, including data manipulation, statistical analysis, and data visualization. You'll gain hands-on experience with real-world datasets and projects, and learn how to communicate insights effectively to stakeholders.
Course Objectives
- Master Advanced Excel skills, including data manipulation, pivot tables, and charting
- Learn SQL fundamentals, including data querying, filtering, and aggregation
- Develop Power BI skills, including data visualization, reporting, and dashboard creation
- Understand Python programming, including data manipulation, statistical analysis, and data visualization using popular libraries like Pandas, NumPy, and Matplotlib
- Gain hands-on experience with real-world datasets and projects
- Develop skills in data communication, including storytelling and presentation
Course Topics
- Advanced Excel
- Data manipulation and cleaning
- Pivot tables and charting
- Advanced formulas and functions
- SQL
- Data querying and filtering
- Data aggregation and grouping
- Subqueries and joins
- Power BI
- Data visualization and reporting
- Dashboard creation and sharing
- Advanced visualization techniques
- Python
- Introduction to Python programming
- Data manipulation and cleaning with Pandas
- Statistical analysis and modeling with NumPy and SciPy
- Data visualization with Matplotlib and Seaborn
- Data Communication
- Storytelling and presentation
- Data visualization best practices
Who Should Take This Course
- Data analysts and scientists who want to expand their skillset
- Business professionals who want to gain insights from data
- Students who want to learn data analytics and statistical modeling
- Anyone who wants to work with data and drive business insights
What You'll Achieve
- A solid understanding of Advanced Excel, SQL, Power BI, and Python
- The ability to manipulate, visualize, and analyze data to drive business insights
- Hands-on experience with real-world datasets and projects
- Skills in data communication, including storytelling and presentation
- A foundation for further learning in data science and machine learning
- A certificate of completion to demonstrate your skills and knowledge
Prerequisites
- Basic computer skills and knowledge
- Familiarity with data analysis principles
Course Format
- Online video lessons
- Interactive exercises and quizzes
- Downloadable resources and examples
- Private online community for discussion and support
Duration
- Self-paced course with 20+ hours of video lessons
- 8-12 weeks of interactive exercises and quizzes
Certification
- Certificate of completion upon finishing the course
Basic understanding of computer usage and data analysis concepts
Familiarity with Microsoft Office (Excel) is a plus
Microsoft Excel and Power BI software
Code editor or IDE (e.g., Jupyter Notebook, Visual Studio Code)
Basic knowledge of data analysis and visualization concepts
Analyze data using Advanced Excel, SQL, and Python
Visualize data using Power BI and Python libraries (e.g., Matplotlib, Seaborn)
Use SQL to extract and manipulate data from databases
Use Python libraries (e.g., Pandas, NumPy) for data analysis and manipulation
Create interactive and dynamic reports using Power BI
Apply data analytics techniques to real-world problems
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Students
0
language
English
Duration
16h 00mLevel
beginner
Expiry period
12 Months
Certificate
Yes
English
Certificate Course
0 Students
16h 00m