Duration: 10 weeks
Student Commitment:
- 85% attendance for live sessions
- 6-8 hours of learning per week
Mode of Training:
- Live sessions
- Offline (in-person) and Online sessions are available.
Prerequisites: No prior programming experience is required. Working knowledge of Excel and understanding of data and business acumen is recommended.
Tools Covered:
- Excel Macros and VBA for business automation
- SQL for database management and data analysis
- Python programming language and related libraries (e.g., Pandas, Matplotlib)
Certification: Upon successful completion of the course, participants will receive a certificate of achievement, validating their programming skills for business applications.
Course Outline:
1. Introduction to Programming for Business Applications
- Understanding the role of programming in business environments
- Overview of programming languages and their applications
- Introduction to problem-solving and algorithmic thinking
2. Fundamentals of Programming
- Introduction to programming concepts and terminology
- Variables, data types, and basic data structures
- Control structures (if-else, loops) and logical operations
3. Excel Macros for Business Automation
- Introduction to Excel macros and VBA (Visual Basic for Applications)
- Automating repetitive tasks and data manipulation in Excel
- Building custom Excel functions and user interfaces
4. Data Manipulation and Analysis with SQL
- Introduction to databases and SQL (Structured Query Language)
- Querying and manipulating data using SQL
- Advanced SQL operations and functions for data analysis
5. Introduction to Python Programming
- Setting up the Python programming environment
- Syntax and basic programming constructs in Python
- Working with variables, operators, and functions in Python
6. Data Manipulation and Analysis with Python
- Reading, writing, and processing data using Python
- Introduction to libraries like Pandas for data manipulation
- Performing data analysis tasks using Python and Pandas
7. Building Business Applications with Python
- Developing Python applications for business needs
- Integrating data sources and performing data transformations
- Building interactive interfaces and generating reports
8. Data Visualization with Python
- Introduction to data visualization libraries in Python (e.g., Matplotlib, Seaborn)
- Creating charts, graphs, and visualizations for business insights
- Customizing visualizations and adding interactivity
9. Advanced Excel Techniques for Data Analysis
- Advanced Excel functions and formulas for data analysis
- Data cleansing, transformation, and data modeling in Excel
- Pivot tables, Power Query, and Power Pivot for business insights
10. Real-world Case Studies and Practical Application
- Hands-on projects and exercises based on real-world business scenarios
- Applying programming skills to solve practical business problems
- Learning from industry case studies and success stories
Expert Guidance: Participants will benefit from the guidance and support of experienced instructors who are experts in programming for business applications.
Assessment and Grading:
- Quizzes and assignments will be given throughout the course to assess understanding of the concepts.
- A final project must be submitted to demonstrate the application of concepts learned throughout the course.
Additional Information:
- This course is designed for individuals who want to learn programming skills for business applications, with a focus on SQL, Excel Macros, and Python.
- The course includes hands-on exercises, practical projects, and real-world examples to enhance learning and application of concepts.
- Participants will receive a certificate upon successful completion of the course.
Please note that the course plan provided here is a general outline, and it can be customized based on specific requirements and participant needs.