Duration:
Student Commitment:
- 85% attendance for live sessions
- 6-8 hours of learning per week
Mode of Training:
- Live, instructor-led sessions
- Online / Offline (Dubai)
Prerequisites:
- No prior experience in data analytics is required.
- Familiarity with basic statistics and computer literacy would be beneficial.
Tools Covered:
- Excel for data analysis and visualization.
- MySQL for data extraction and querying.
- Power BI for interactive data visualization.
- Python for comprehensive data analysis and manipulation.
Certification:
- Upon completing the course, earn a certificate of achievement, validating your newfound data analytics skills.
Course Outline
Introduction to Data Analytics
- Understanding the role of data analytics in various industries.
- Overview of data types, data sources, and their significance.
- Introduction to data analytics tools and their applications.
Data Collection and Preprocessing
- Techniques for effective data collection and data sources.
- Data cleaning, transformation, and data quality assessment.
- Handling missing data and dealing with outliers.
Data Analysis with Excel
- Proficiency in Excel for data analysis, including functions and pivot tables.
- Using Excel for descriptive statistics and data visualization.
- Practical exercises and projects with real-world data.
Data Analysis with MySQL
- Introduction to database management and SQL.
- Querying databases for data extraction and analysis.
- Combining and analyzing data from multiple tables.
Data Visualization with Power BI
- Creating interactive dashboards and reports using Power BI.
- Selecting the right visualizations for data representation.
- Data storytelling and communication through Power BI.
Data Analysis with Python
- An introduction to Python for data analysis, including data manipulation and visualization.
- Building confidence in working with data using Python libraries (e.g., Pandas, Matplotlib).
- Hands-on projects that apply Python to real-world data analysis scenarios.
Expert Guidance:
- Benefit from the guidance and support of experienced instructors with a wealth of industry experience in data analytics.
Assessment and Grading:
- Regular quizzes and assignments to assess understanding of concepts.
- A final project to demonstrate proficiency in data analytics and tool usage.
Additional Information:
- This 12-week program is designed for individuals who want to build robust data analytics skills, focusing on real-world applications.
- Participants will gain hands-on experience with industry-standard tools, ensuring they are well-prepared for data analysis roles.
- A certificate will be awarded upon successful completion of the program.
Please note that the course outline and content can be customized based on specific requirements and the level of prior knowledge of the participants.