Diploma CoursesData Analytics Course – ...

Data Analytics Course - 8 months

Data analytics Course by SIIMT
Teaching Method Progress

Teaching Method

80% Practical training

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 – 8 months or 4 months (Fast-track)
  • Module 1 – Introduction To Data Analys
  • Module 2 – Excel For Data Analysis
  • Module 3 – Database Management & SQL
  • Module 4 – SAS For Business Intelligence And Analytics
  • Module 5 – Microsoft PowerBI
  • Weekday Evening Batches

    • Batch 1 – Monday & Tuesday (6:00 PM To 8:00 PM)

    • Batch 2 – Wednesday & Thursday (6:00 PM To 8:00 PM)

  • Weekday Evening Batch

    • Batch 1 – Saturday (10:00 AM To 2:00 PM)

  • Basic Understanding of Computers
  • Prior Experience with Word, PowerPoint and Excel
  • Laptop (at-least i5 processor and 8 GB RAM)
  • Hostel facilities are available
  • Hostel Fees – GHC 700 per month
  • Our hostels are clean and hygienic 
FAQ related to Data Analytics Course

FAQ related to Data Analytics Course

1. How to apply for the Data Analytics Course at SIIMT?

To apply for the Data Analytics Course at SIIMT, click here. Follow the registration process on the provided page to start your journey in the field of data analytics. SIIMT - Data Analytics Course

2. What are the prerequisites for this Course?

prerequisites are not necessary but it migh help to understand better.The prerequisites for the Data Analytics Course may include a basic understanding of statistics, mathematics, and programming languages such as Python or R. Check the specific requirements on the course page for detailed information.

3. Is the Data Analytics Course suitable for beginners?

Yes, this Course is designed to accommodate beginners. It covers foundational concepts and gradually progresses to advanced topics. The curriculum is tailored to help students with varying levels of experience. Analytics Vidhya - Becoming an Expert in Data Analytics

4. What career opportunities are available after completing the Data Analytics Course?

    • Data Analyst
      • Job Description: Collecting, processing, and analyzing data to help organizations make informed decisions. Creating reports, dashboards, and data visualizations to communicate findings.
      • Salary: Entry-level salaries typically range from $50,000 to $70,000, with potential for higher earnings based on experience and specialization.
    • Business Intelligence Analyst
      • 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.
      • Salary: Salaries typically range from $60,000 to $80,000, with variations based on industry and location.
    • Marketing Analyst
      • Job Description: Analyzing market trends, consumer behavior, and campaign performance. Providing recommendations to optimize marketing efforts and improve return on investment.
      • Salary: Salaries typically range from $55,000 to $75,000, with potential for higher earnings based on industry and experience.
    • Financial Analyst
      • Job Role: Applying analytical skills to financial data, forecasting, and budgeting for improved financial decision-making.
      • Job Description: Analyzing financial data, preparing reports, and creating financial models. Assisting in budgeting and forecasting processes to support financial planning.
      • Salary: Salaries typically range from $60,000 to $80,000, with potential for higher earnings in finance-heavy industries.
    • Healthcare Data Analyst
      • Job Description: Analyzing healthcare data, identifying patterns, and creating reports to assist in clinical and operational decision-making. Ensuring compliance with healthcare regulations.
      • Salary: Salaries typically range from $65,000 to $85,000, with variations based on the healthcare sector and location.
    • Data Engineer
      • 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.
      • Salary: Salaries typically range from $70,000 to $90,000, with higher earnings for more experienced professionals.
    • Supply Chain Analyst
      • Job Description: Analyzing supply chain data, identifying opportunities for efficiency improvements, and optimizing inventory levels. Collaborating with logistics and procurement teams.
      • Salary: Salaries typically range from $60,000 to $80,000, with potential for higher earnings in industries with complex supply chains.
    • Social Media Analyst
      • 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.
      • Salary: Salaries typically range from $55,000 to $75,000, with potential for higher earnings in industries with a strong social media presence.
    • Risk Analyst
      • 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.
      • Salary: Salaries typically range from $65,000 to $85,000, with potential for higher earnings in industries with high regulatory compliance requirements.
    • Operations Analyst
      • Job Description: Analyzing operational data, identifying bottlenecks, and recommending process improvements. Collaborating with cross-functional teams to implement changes that enhance overall efficiency.
      • Salary: Salaries typically range from $60,000 to $80,000, with the potential for higher earnings in industries with complex and dynamic operational processes
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?

Yes, many institutions offer part-time or online options for the Data Analytics Course, allowing flexibility for working professionals or individuals with other commitments. Check with SIIMT for specific details on course delivery formats.

Enlist in SIIMT University’s Data Analytics Course: Acquire practical skills, learn from industry experts with benefits of comprehensive education.

WHY CHOOSE US?

Practical Training

Bridging knowledge with experience, shaping skills, and preparing for real-world success

Industry Experts

Students learn from industry experts, shaping skills for real-world success and job market.

Updated Syllabus

Our syllabus enriches learning, fostering skills, and prepares students for a brighter future

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