overview

Practical Exposure to Microsoft PowerBI.

Unleash the power of Data Visualization in Business Analytics.

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Detail

Master the dynamic realm of business intelligence with our comprehensive diploma program. Blend theory and hands-on practice to grasp data collection, analysis, and interpretation for strategic decision-making. Led by industry experts, you’ll delve into data visualization, mining, and predictive analytics. Be ready to thrive in data-driven environments. Ideal for professionals or recent graduates.

Business Intelligence (BI) platforms come with a variety of features designed to help organizations gather, analyze, and visualize data to make informed business decisions. Here are some key features of Business Intelligence:

1. Data Integration:
BI tools often integrate with various data sources, including databases, spreadsheets, and cloud-based applications, to consolidate data for analysis.

2. Data Warehousing:
The ability to create and manage data warehouses, providing a centralized repository for storing and processing large volumes of structured and unstructured data.

3. Data Visualization:
Interactive and visually appealing dashboards and reports that make it easy to interpret complex data and identify trends, patterns, and outliers.

4. Ad Hoc Reporting:
Users can create on-the-fly reports and queries without depending on IT support, allowing for quick insights and decision-making.

5. Predictive Analytics:
Utilizing statistical algorithms and machine learning techniques to forecast future trends and outcomes based on historical data.

6. Self-Service BI:
Empowering non-technical users to generate their own reports and analyses, reducing dependency on IT and fostering a data-driven culture.

7. Mobile BI:
Access to BI tools and insights on mobile devices, enabling decision-makers to stay informed while on the go.

8. Collaboration and Sharing:
Features that facilitate sharing of reports and dashboards with colleagues, promoting collaboration and knowledge sharing within the organization.

9. Real-time Analytics:
The capability to analyze and visualize data in real-time, providing up-to-the-minute insights for timely decision-making.

10. Data Security and Governance:
Robust security measures to protect sensitive data and ensure compliance with data governance policies and regulations.

11. Scalability:
The ability to scale the BI solution to handle growing amounts of data and users as the organization expands.

12. Integration with Other Tools:
Seamless integration with other business tools, such as Customer Relationship Management (CRM) systems, Enterprise Resource Planning (ERP) systems, and collaboration platforms.

13. Customization:
Flexibility to customize dashboards, reports, and analyses to meet the specific needs and preferences of different users and departments.

14. User Training and Support:
Comprehensive training resources and support to help users make the most of the BI platform and its features.

15. Metadata Management:
Efficient management of metadata, ensuring that data definitions, sources, and transformations are well-documented and easily accessible.

16. Comprehensive Analytics:
Beyond traditional BI features, some platforms offer advanced analytics capabilities, including sentiment analysis, geospatial analysis, and natural language processing.

Future benefits of a Big Data Analytics diploma program.

High Demand: Growing demand for skilled professionals in data analytics.

Versatile Career Paths: Opportunities in diverse industries such as finance, healthcare, marketing, etc.

Competitive Edge: Sets you apart in a competitive job market.

Innovation Opportunities: Opens doors to participate in and drive technological innovations.

Salary Potential: Potential for competitive salaries as a result of specialized skills.

Global Relevance: Applicable across borders, providing opportunities for both local and international employment.

Adaptability: Equips you with skills that are adaptable to evolving technological landscapes.

Continuous Learning: Establishes a foundation for ongoing learning to stay current in the field.

Problem-Solving Skills: Develops strong analytical and problem-solving skills crucial in data-driven decision-making.

Career Advancement: Provides a pathway for career growth and advancement in the field.

Industry Recognition: Enhances your professional profile with a recognized qualification in a critical field.

Enrollment Fee

  • Upon enrollment, a fee of Rs. 1500/- is applicable.
  • Upon receipt of the enrollment fee, the date for an on-campus test/ interview will be scheduled & informed via email.
  • Shortlisted candidates will be notified of their selection through email.

Program Fee

  • Program fee PKR 150,000/- (excluding SST), is required to be submitted prior to the commencement of classes.
  • A special incentive of 15% discount is available for those who choose to pay the full program fee in advance.

Installment Plan

-We provide a flexible installment plan that consists of three payments:

  • The initial installment amount is  70,000.
  • The second installment amount is 40,000. and,
  • The third installment amounts to 40,000.

Program Duration

  • 4-Months program
  • Scheduled as a weekend program, classes are held on both Saturday and Sunday.

Timings

  • Saturday: 5:00 PM to 9:00 PM
  • Sunday: 9:30 AM to 5:30 PM

Eligibility Criteria

  • Graduates must be preferred.

Student Policy

  • It is essential for program participants to fulfill the requirement of clearing the program fee.
  • Non-compliance with fee payment may result in termination from the program.

MR. SOHAIL IMRAN
For more than 18 years, Mr. Sohail Imran is conducting training and workshops for databases (SQL and NoSQL), Big Data Infrastructure, and Machine Learning to different institutes, universities, and the corporate sector. More than 8 years of professional experience in Big Data Analytics, Data Science, Data Mining, Data Warehousing, and DBMS (SQL and NoSQL). Providing consultancy in designing and developing Big Data Analytics platforms using Java, RapideMiner, Radoop, Python, Hadoop, Hive, Spark, Kafka, Spark Streaming, Storm, etc.

SALMAN HANIF                                                                                                         Results-driven MBA professional with expertise in business consultancy, strategy, and financial modeling. Passionate about leveraging data-driven insights to drive business growth and make strategic decisions. Experienced in conducting market analysis, developing financial models, and leading cross functional teams to achieve organizational objectives. Proven track record in delivering
impactful solutions and driving operational efficiency.

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