Data Analytics Course - 6 months
Teaching Method
ABOUT COURSE
- Data analytics course involves the examination, interpretation, and visualization of raw data to uncover meaningful insights, patterns, and trends.
- Through the use of statistical methods, algorithms, and visualization tools, data analysis enables informed decision-making and helps extract valuable information from complex datasets across various fields such as business, science, and research.
- Duration – 6 months
Syllabus
- Module 1 – Introduction To Data Analysis
- Module 2 – Excel For Data Analysis
- Module 3 – Database Management & SQL
- Module 4 – Microsoft PowerBI
- Project for Portfolio –
- Interactive dashboard using Excel using Call Centre Data
- Building an Employee management system for a Company using SQL and MySQL Workbench
- Using COVID-19 pandemic Data for Insight Analysis and creating an Interactive Dashboard using PowerBI
- Finding Patterns and Insight from E-commerce data using PowerBI visualisation tools
- For Python and Machine Learning enroll for Diploma in Data Science – Click here
Download Syllabus – click here
Admission Requirements
- Basic understanding of Computers and IT
- WASSCE or Certification in IT
- Laptop (minimum: i5 processor, 8 GB RAM)
Campus & Class Schedules
Campus Locations
Nima Kanda Overpass, Accra
18 Junction, Opp. KFC, Spintex Rd
Class Schedules
⏱ All batches have a total of 4 Credit Hours per week.
Weekday Batch (Two days a week)
Option 1: Morning — 10:00 AM to 12:00 PM
OR
Option 2: Evening — 6:00 PM to 8:00 PM
Weekend Batch (Only Saturday)
Morning — 10:00 AM to 2:30 PM
Note: Students may enroll in either a Weekday Batch or a Weekend Batch (not both).
Duration and Fees
- Ghanaian: GHC 8,000
- Non-Ghanaian: GHC 10,000
- Duration: 6 months (intensive)
For Python and Machine Learning enroll for Diploma in Data Science – Click here
Admission Process
Step 3 – Confirmation: Receive official admission confirmation from SIIMT University College.
Hostel and Accomodation
- Hostel facilities are available
- Hostel Fees – click here
- Our hostels are clean and hygienic
Career Oppotunities
The following roles and salary ranges are based on the US job market.
Data Analyst
Collects, processes, and analyzes data to help organizations make informed decisions. Uses tools like Excel, SQL, and BI software.
Salary: $50,000 – $80,000 per year
Business Intelligence (BI) Analyst
Designs and develops dashboards, reports, and visualizations to track business performance and provide actionable insights.
Salary: $60,000 – $90,000 per year
Data Scientist
Applies statistical and machine learning techniques to analyze large datasets and build predictive models to solve complex business problems.
Salary: $85,000 – $130,000 per year
Data Engineer
Builds and maintains data pipelines, databases, and ETL processes to ensure smooth data flow and accessibility for analysis.
Salary: $80,000 – $120,000 per year
Machine Learning Engineer
Develops and deploys machine learning models and AI solutions that help organizations automate decisions and gain insights from data.
Salary: $100,000 – $150,000 per year
Data Analytics Consultant
Provides expert guidance to organizations on leveraging data for business growth, improving processes, and decision-making strategies.
Salary: $70,000 – $120,000 per year
Statistician
Uses statistical techniques to analyze data, identify trends, and provide insights for research, business, and policy-making.
Salary: $55,000 – $95,000 per year
Analytics Manager
Leads a team of analysts or data scientists, oversees analytics projects, and ensures alignment with business objectives.
Salary: $90,000 – $140,000 per year
Business Data Analyst
Focuses on understanding business operations, gathering requirements, and translating data insights into actionable recommendations.
Salary: $55,000 – $85,000 per year
Chief Data Officer (CDO)
Oversees the organization’s data strategy, governance, and utilization of data assets to drive business decisions and innovation.
Salary: $140,000 – $250,000 per year
FAQ related to Data Analytics Course
1. How to apply for the Data Analytics Course at SIIMT? ▼
2. What are the prerequisites for this Course? ▼
3. Is the Data Analytics Course suitable for beginners? ▼
4. What career opportunities are available after completing the Data Analytics Course? ▼
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Data Analyst
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Job Description: Collecting, processing, and analyzing data to help organizations make informed decisions. Creating reports, dashboards, and data visualizations to communicate findings.
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Salary: Entry-level salaries typically range from $50,000 to $70,000, with potential for higher earnings based on experience and specialization.
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Business Intelligence Analyst
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Job Description: Extracting and transforming data, creating interactive dashboards, and collaborating with stakeholders to identify key performance indicators (KPIs). Providing actionable insights to enhance business performance.
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Salary: Salaries typically range from $60,000 to $80,000, with variations based on industry and location.
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Marketing Analyst
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Job Description: Analyzing market trends, consumer behavior, and campaign performance. Providing recommendations to optimize marketing efforts and improve return on investment.
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Salary: Salaries typically range from $55,000 to $75,000, with potential for higher earnings based on industry and experience.
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Financial Analyst
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Job Role: Applying analytical skills to financial data, forecasting, and budgeting for improved financial decision-making.
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Job Description: Analyzing financial data, preparing reports, and creating financial models. Assisting in budgeting and forecasting processes to support financial planning.
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Salary: Salaries typically range from $60,000 to $80,000, with potential for higher earnings in finance-heavy industries.
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Healthcare Data Analyst
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Job Description: Analyzing healthcare data, identifying patterns, and creating reports to assist in clinical and operational decision-making. Ensuring compliance with healthcare regulations.
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Salary: Salaries typically range from $65,000 to $85,000, with variations based on the healthcare sector and location.
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Data Engineer
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Job Description: Developing, constructing, testing, and maintaining architectures, such as databases and large-scale processing systems. Collaborating with data scientists and analysts to ensure data availability and quality.
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Salary: Salaries typically range from $70,000 to $90,000, with higher earnings for more experienced professionals.
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Supply Chain Analyst
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Job Description: Analyzing supply chain data, identifying opportunities for efficiency improvements, and optimizing inventory levels. Collaborating with logistics and procurement teams.
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Salary: Salaries typically range from $60,000 to $80,000, with potential for higher earnings in industries with complex supply chains.
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Social Media Analyst
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Job Description: Monitoring social media metrics, analyzing trends, and providing insights to enhance social media presence. Collaborating with marketing teams to optimize social media strategies.
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Salary: Salaries typically range from $55,000 to $75,000, with potential for higher earnings in industries with a strong social media presence.
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Risk Analyst
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Job Description: Analyzing data to identify potential risks, developing risk models, and providing recommendations to mitigate risks. Collaborating with various departments to ensure compliance and risk management.
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Salary: Salaries typically range from $65,000 to $85,000, with potential for higher earnings in industries with high regulatory compliance requirements.
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Operations Analyst
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Job Description: Analyzing operational data, identifying bottlenecks, and recommending process improvements. Collaborating with cross-functional teams to implement changes that enhance overall efficiency.
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Salary: Salaries typically range from $60,000 to $80,000, with the potential for higher earnings in industries with complex and dynamic operational processes
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Please note that these salary ranges are approximate and can vary based on factors such as location, experience, and the specific organization.
5. Can I pursue the Data Analytics Course part-time or online? ▼
