Description
Course Name: Certificate in Data Analysis
Course Id: CDE/Q1001.
Eligibility: 10+2 Grade (higher secondary) or Equivalent.
Duration: Two Month.
Objective: The objective of this course is to provide learners with essential knowledge and hands-on skills in data analysis techniques used to extract insights, support decision-making, and solve real-world problems across various sectors. The course focuses on practical tools, data interpretation, and analytical thinking, preparing students for entry-level roles or further specialization in data-driven fields.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.
| Marking System: |
|
|
| S.No. |
No. of Questions |
Marks Each Question |
Total Marks |
| 1 |
10 |
5 |
50 |
| 2 |
5 |
4 |
20 |
| 3 |
5 |
3 |
15 |
| 4 |
5 |
2 |
10 |
| 5 |
5 |
1 |
5 |
|
30 |
|
100 |
| How Students will be Graded: |
|
| S.No. |
Marks |
Grade |
|
| 1 |
91-100 |
O (Outstanding) |
|
| 2 |
81-90 |
A+ (Excellent) |
|
| 3 |
71-80 |
A (Very Good) |
|
| 4 |
61-70 |
B (Good) |
|
| 5 |
51-60 |
C (Average) |
|
| 6 |
40-50 |
P (Pass) |
|
| 7 |
0-40 |
F (Fail) |
|
|
|
|
|
|
|
|
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Syllabus
Data Analytics Overview: Introduction to big data and analytics, Introduction to technology landscape, Mongodb and map reduce programming, Regression model, Clustering, Collaborative filtering, Associate rule making, Decision, Machine learning, Unsupervised learning.
Data Visualization for Decision Making: Good graphics, Static graphics, Data visualization through their graph representations, Graph-theoretic graphics, High-dimensional data visualization, Display of geographically referenced statistical data, Multidimensional scaling.
Graphical Techniques: Probabilistic graphical models, Probability distributions, Basic concepts in probability, Cycles and loops, The bayesian network representation, Analysis of algorithmic complexity, Compression and entropy, Utility elicitation procedures, Decision making under uncertainty, Density estimation.
Prescriptive and Predictive Analytics: Analytics and transforming the finance function, Case studies in predictive and prescriptive analytics, Sbv services (pty) limited, Large consumer packaged goods company, Encore enterprises inc.
Design and Analysis of Algorithm: Divide-and-conquer, Binary search trees, Heaps and heapsort, Fibonacci heaps, Delaunay triangulations, Geometric graphs, Geometric algorithms, Shortest paths, Greedy algorithms, First homework assignment.
Social Network Analytics: History of social network analysis, Key concepts and measures, Applications of network analysis, Criticisms and frequently asked questions, Software for social network analysis.
Job Opportunities after completion of Certificate in Data Analysis course:
After successful completion of the Certificate in Data Analysis program, graduates gain valuable skills in data handling, statistical analysis, and data visualization, which makes them eligible for a wide range of career opportunities in various sectors. With the growing importance of data-driven decision-making in businesses, data analysis is a rapidly growing field.
Career Options for Graduates
- Data Analyst
- Role: A Data Analyst collects, processes, and performs statistical analysis on large datasets. They help businesses make data-driven decisions by presenting insights through reports and dashboards.
- Salary Range: ₹3,50,000 to ₹7,00,000 annually (entry-level); ₹8,00,000 to ₹15,00,000 annually (experienced).
- Industries: IT, finance, healthcare, retail, consulting, marketing, and government agencies.
- Business Analyst
- Role: Business Analysts use data analysis to provide insights into business performance, identify opportunities for improvement, and help organizations optimize operations.
- Salary Range: ₹5,00,000 to ₹8,00,000 annually (entry-level); ₹10,00,000 to ₹20,00,000 annually (experienced).
- Industries: Consulting, corporate firms, manufacturing, IT, and financial services.
- Data Scientist
- Role: Data Scientists build advanced analytical models using machine learning algorithms, deep learning, and statistical analysis to solve complex business problems. They often work with unstructured data and provide predictive insights.
- Salary Range: ₹6,00,000 to ₹12,00,000 annually (entry-level); ₹15,00,000 to ₹30,00,000 annually (experienced).
- Industries: IT, e-commerce, fintech, healthcare, research, and marketing.
- Market Research Analyst
- Role: Market Research Analysts analyze data to understand consumer behavior, market trends, and competitive landscapes, helping companies devise effective marketing strategies.
- Salary Range: ₹3,50,000 to ₹6,00,000 annually (entry-level); ₹8,00,000 to ₹12,00,000 annually (experienced).
- Industries: Market research firms, FMCG, consulting firms, retail, and advertising.
- Operations Analyst
- Role: Operations Analysts evaluate and improve business operations using data analysis. They streamline processes, optimize resources, and ensure operational efficiency.
- Salary Range: ₹4,00,000 to ₹7,00,000 annually (entry-level); ₹8,00,000 to ₹15,00,000 annually (experienced).
- Industries: Manufacturing, logistics, IT, retail, and finance.
- Financial Analyst
- Role: Financial Analysts analyze financial data and trends, providing insights on business performance, investment opportunities, and risk assessments.
- Salary Range: ₹4,00,000 to ₹8,00,000 annually (entry-level); ₹10,00,000 to ₹20,00,000 annually (experienced).
- Industries: Banking, investment firms, insurance, and corporate finance.
- Data Visualization Specialist
- Role: Data Visualization Specialists transform complex data into easy-to-understand visual reports, charts, and dashboards that help stakeholders interpret the data effectively.
- Salary Range: ₹4,00,000 to ₹6,00,000 annually (entry-level); ₹7,00,000 to ₹12,00,000 annually (experienced).
- Industries: IT, consulting, education, finance, and media.
- SQL Developer / Data Engineer
- Role: SQL Developers/Data Engineers focus on designing and managing databases, writing complex SQL queries, and ensuring data storage and processing are efficient for analysis.
- Salary Range: ₹5,00,000 to ₹9,00,000 annually (entry-level); ₹10,00,000 to ₹15,00,000 annually (experienced).
- Industries: IT, tech companies, e-commerce, and banking.
- Product Analyst
- Role: Product Analysts use data to evaluate product performance, customer satisfaction, and market trends to assist in product development and improvements.
- Salary Range: ₹5,00,000 to ₹8,00,000 annually (entry-level); ₹8,00,000 to ₹15,00,000 annually (experienced).
- Industries: E-commerce, tech companies, product management, and consulting.
- Big Data Analyst
- Role: Big Data Analysts work with large-scale datasets, often involving complex or unstructured data. They use tools like Hadoop and Spark to process and analyze vast amounts of data.
- Salary Range: ₹7,00,000 to ₹12,00,000 annually (entry-level); ₹15,00,000 to ₹25,00,000 annually (experienced).
- Industries: IT, healthcare, finance, and telecom.
- Consultant (Data Analysis)
- Role: Data Analysis Consultants help organizations analyze data and make informed decisions, often providing advice on the implementation of data-driven strategies and tools.
- Salary Range: ₹6,00,000 to ₹12,00,000 annually (entry-level); ₹15,00,000 to ₹30,00,000 annually (experienced).
- Industries: Consulting firms, startups, corporates, and government agencies.
Salary Overview by Experience
- Entry-Level (0-2 years experience): ₹3,00,000 to ₹6,00,000 annually
- Mid-Level (3-5 years experience): ₹6,00,000 to ₹10,00,000 annually
- Experienced (5+ years experience): ₹12,00,000 to ₹30,00,000 annually
Industries Hiring Graduates
- Information Technology (IT)
- Banking and Financial Services
- Retail and E-commerce
- Consulting Firms
- Healthcare and Pharmaceuticals
- Government and Public Sector
- Telecommunications
- Education and Training
- Market Research Firms
Conclusion
A Certificate in Data Analysis offers excellent career prospects in a wide range of industries. Graduates can work in various roles such as data analysts, business analysts, and data scientists, with salaries increasing as they gain more experience. With businesses and organizations increasingly relying on data to drive decisions, there is a high demand for professionals skilled in data analysis, making this an attractive and rewarding field for those with a passion for numbers and problem-solving.
