Why Choose Data Analytics at SIIMT?

Discover the perfect destination for mastering Data Analytics – SIIMT University College! Get ready to dive into practical hands-on training, led by experienced Indian experts with industry know-how. Learn from scratch and watch your skills soar to new heights! Our happy students are thrilled with their journey and boast high satisfaction levels. Need proof? Look no further than our exceptional testimonials and alumni who have secured lucrative salaries in top companies.

But that’s not all! We continuously update our syllabus to incorporate the latest technologies, trends, and global job market demands. Join us today and unleash your potential in the world of Data Analytics. Let’s embark on an exciting adventure together!


Master the core principles of data analytics and gain hands-on experience in data manipulation using

  • Introduction to Concepts Data Analysis
  • Data Analysis with Excel and  Dashboarding
  • Data Analysis with Python Programming
  • Jupyter Notebook and Relational Database
  • Database Management System (DBMS)
  • Python with MySQL
  • Exploratory Data Analysis Techniques
  • Microsoft Power BI
  • Applying analytical techniques and working with a variety of data sources
  • Industry Level Projects
  • Data Analysis with R Programming (Part of the advanced diploma)
  • Apache Spark (Part of the advanced diploma)
  • Apache Hadoop (Part of the advanced diploma)
  • Tableau ((Part of the advanced diploma))


  • Data Analysis With Excel (LEVEL 1)
  • Data Analysis With Python (LEVEL 2)
  • SQL and Relational Database (DBMS) (LEVEL 3)
  • Certified Microsoft Power BI Data Analyst (LEVEL 4)



  • Basic Understanding of computers
  • Laptop ( This course includes daily intensive practical hands-on training)
    • Minimum Specification – i5 processor | 8 GB RAM


  • 7-8 months (4 months Fast-track)


  • GH₵  8000 (Ghanaian) | $ 1000 Non-Ghanaian)

Note: You can pay in installments and we have flexible modes of payment. 

  • We offer Certification (4 months) in Data Analysis  click here

Data Analyst
Salary: $60,000 – $90,000 per year
Job Role: Collecting, analyzing, and interpreting data to provide insights and support decision-making processes. Developing and implementing data collection systems and strategies. Creating reports and visualizations to communicate findings to stakeholders.

Data Scientist
Salary: $80,000 – $120,000 per year
Job Role: Utilizing statistical techniques and machine learning algorithms to analyze complex data sets. Building predictive models and developing data-driven solutions. Working closely with cross-functional teams to identify business problems and provide actionable insights.

Business Intelligence Analyst
Salary: $70,000 – $100,000 per year
Job Role: Gathering and analyzing data from various sources to identify trends and patterns. Designing and maintaining data dashboards and reports for business performance monitoring. Collaborating with stakeholders to define KPIs and provide data-driven recommendations for improving business operations.

Data Engineer
Salary: $80,000 – $110,000 per year
Job Role: Building and maintaining data pipelines and infrastructure to ensure efficient data processing and storage. Designing and implementing data models and databases. Collaborating with data scientists and analysts to ensure data quality and availability.

Data Visualization Specialist
Salary: $65,000 – $95,000 per year
Job Role: Creating visually appealing and interactive data visualizations using tools like Tableau or Power BI. Designing intuitive dashboards and reports to present complex data in a user-friendly manner. Collaborating with stakeholders to understand their data visualization needs and providing actionable insights.

Data Quality Analyst
Salary: $55,000 – $80,000 per year
Job Role: Assessing data quality and identifying inconsistencies or errors. Developing and implementing data quality standards and procedures. Collaborating with data users to improve data accuracy and completeness.

Marketing Analyst
Salary: $60,000 – $90,000 per year
Job Role: Analyzing marketing campaigns and customer data to measure their effectiveness. Conducting market research and competitor analysis to identify trends and opportunities. Providing insights and recommendations to optimize marketing strategies and drive business growth.

Healthcare Data Analyst
Salary: $70,000 – $100,000 per year
Job Role: Analyzing healthcare data to identify patterns, trends, and insights. Developing statistical models to predict patient outcomes or optimize healthcare processes. Collaborating with healthcare professionals to support evidence-based decision-making.

Financial Analyst
Salary: $65,000 – $95,000 per year
Job Role: Analyzing financial data to support budgeting, forecasting, and financial planning processes. Conducting financial modeling and risk analysis. Providing insights and recommendations to optimize financial performance.

Fraud Analyst
Salary: $60,000 – $90,000 per year
Job Role: Identifying and investigating suspicious activities or transactions to detect and prevent fraud. Analyzing large datasets to uncover fraudulent patterns and trends. Developing and implementing fraud detection strategies and tools.

Course Outcome for Data Analytics:

1. Understand the fundamental concepts and principles of data analytics.
2. Demonstrate proficiency in data acquisition, cleansing, and preprocessing techniques.
3. Apply various statistical and exploratory data analysis techniques to gain insights from data.
4. Utilize different data visualization tools and techniques to effectively communicate findings.
5. Apply predictive modeling and machine learning algorithms to make data-driven decisions.
6. Evaluate the performance of predictive models and interpret the results.
7. Design and implement data analytics solutions to solve real-world problems.
8. Understand the ethical considerations and legal implications related to data analytics.
9. Collaborate effectively in teams to analyze complex datasets and derive meaningful conclusions.
10. Communicate data analytics findings and recommendations to both technical and non-technical stakeholders.
11. Stay updated with emerging trends and technologies in the field of data analytics.
12. Apply critical thinking and problem-solving skills to address challenges in data analytics projects.

By the end of the course, students should have a solid understanding of data analytics principles, techniques, and tools, and be able to apply them to analyze and interpret data effectively. They should also develop the necessary skills to communicate their findings and recommendations in a clear and concise manner, and be aware of the ethical considerations and legal implications related to data analytics.

“Unlock your future with data analytics mastery. Join our course now!”

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