Certificate in Data Analyst

Rs.6000 Rs.3000

50% Discount will end in

To develop the skills to analyze, interpret, and visualize data using analytical tools and techniques that support data-driven decision-making and business insights.

Description

Certification Name: Certificate in Data Analyst

Course Id: CDA/Q0001.

Eligibility: Graduation or Equivalent.

Objective: The Certified Data Analyst course is designed to provide learners with the analytical and technical skills necessary to collect, process, analyze, and interpret data for informed decision-making. The course covers the entire data analysis workflow, including data collection and cleaning, exploratory data analysis (EDA), statistical analysis, data visualization, and business intelligence reporting.

Duration: Three Month.

🎓 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.

Assessment Modules:

Module 1: Data Analytics Foundations: Introduction to Data Analytics and its Applications, Types of Data and Data Structures, Data Collection Methods and Data Sources, Understanding Data Quality and Data Cleaning, Introduction to Data-Driven Decision Making, Overview of the Data Analytics Lifecycle.

Module 2: Excel and Spreadsheet Tools for Data Analysis: Basic Excel Functions and Formulas, Sorting, Filtering, and Conditional Formatting, Pivot Tables and Pivot Charts, Lookup Functions and Data Validation, What-if Analysis and Scenario Tools, Using Excel for Exploratory Data Analysis.

Module 3: Statistical Methods for Data Analysis: Descriptive Statistics: Mean, Median, Mode, Standard Deviation, Probability Concepts and Distributions, Inferential Statistics: Hypothesis Testing and Confidence Intervals, Correlation and Regression Analysis, ANOVA and Chi-Square Tests, Data Sampling Techniques and Bias.

Module 4: SQL for Data Analysis: Introduction to Databases and Relational Models, Writing Basic SQL Queries (SELECT, WHERE, JOIN), Aggregation and Grouping of Data, Subqueries and Nested Queries, Data Manipulation with INSERT, UPDATE, DELETE, Using SQL for Business Reports and Dashboards.

Module 5: Data Visualization and Dashboarding: Principles of Effective Data Visualization, Data Storytelling Techniques, Using Tableau/Power BI for Dashboards, Visualizing Time Series and Geographic Data, Customizing Visualizations and Interactivity, Creating Interactive Business Dashboards.

Module 6: Data Analytics with Python: Introduction to Python for Data Analysis, Data Structures and Libraries (Pandas, NumPy), Data Cleaning and Preparation with Pandas, Data Visualization using Matplotlib and Seaborn, Exploratory Data Analysis (EDA) in Python, Case Study: End-to-End Analysis Project with Python.

Career Options After Certificate in Data Analyst (India)

1. Data Analyst

Role & Responsibilities

  • Collect, process, and analyze structured and unstructured data

  • Generate insights and reports to support business decisions

  • Create dashboards and visualizations using Excel, Power BI, Tableau, or Python

  • Monitor KPIs and performance metrics

Industries
IT services, BFSI, e-commerce, healthcare, consulting, telecom

Salary Range

  • Entry level: ₹4 – ₹7 LPA

  • Experienced: ₹8 – ₹15 LPA


2. Business Analyst

Role & Responsibilities

  • Translate business requirements into data insights

  • Analyze trends, identify gaps, and recommend solutions

  • Prepare reports and presentations for management

  • Collaborate with stakeholders to improve processes

Industries
IT, consulting, BFSI, retail, manufacturing

Salary Range

  • ₹6 – ₹14 LPA


3. Data Visualization Specialist

Role & Responsibilities

  • Create interactive dashboards and visual reports

  • Use visualization tools like Tableau, Power BI, or Looker

  • Present insights clearly to management and business teams

  • Support strategic decision-making

Industries
Analytics firms, startups, product companies

Salary Range

  • ₹5 – ₹12 LPA


4. Junior Data Scientist / Data Analytics Associate

Role & Responsibilities

  • Perform data cleaning, statistical analysis, and exploratory analysis

  • Support machine learning and predictive analytics projects

  • Generate insights to guide business strategy

Industries
IT, analytics, fintech, e-commerce, healthcare

Salary Range

  • ₹6 – ₹14 LPA


5. Reporting Analyst / MIS Analyst

Role & Responsibilities

  • Prepare daily, weekly, and monthly MIS reports

  • Track business metrics and KPIs

  • Automate reporting processes using Excel, SQL, or Python

Industries
BFSI, IT services, manufacturing, retail

Salary Range

  • ₹4 – ₹9 LPA


6. Marketing Analyst / Sales Analyst

Role & Responsibilities

  • Analyze sales, marketing, and customer data

  • Track campaign performance and ROI

  • Identify market trends and customer behavior patterns

Industries
E-commerce, retail, FMCG, digital marketing agencies

Salary Range

  • ₹5 – ₹12 LPA


7. Freelance Data Analyst / Consultant

Role & Responsibilities

  • Work on short-term data analysis projects

  • Provide insights, dashboards, and reporting for clients

  • Offer services remotely or on contract basis

Earning Potential

  • ₹40,000 – ₹2,00,000+ per month (project-based)


Industry Demand in India

Data Analysts are highly sought after across:

  • IT & ITES

  • Banking, Finance & Insurance

  • E-commerce & Retail

  • Healthcare & Pharma

  • Manufacturing & Supply Chain

  • Consulting & Market Research Firms


Career Growth Path

  • Entry Level: Junior Data Analyst, MIS Analyst

  • Mid Level: Data Analyst, Business Analyst, Visualization Specialist

  • Senior Level: Senior Data Analyst, Analytics Manager, Data Science Associate

  • Leadership: Head of Analytics, Chief Data Officer (CDO)


Key Skills Gained from the Certification

  • Data cleaning, manipulation, and preprocessing

  • Excel, SQL, and Python/R for analysis

  • Data visualization with Tableau, Power BI, or similar tools

  • Statistical analysis and reporting

  • Business intelligence and KPI tracking

  • Dashboard creation and presentation skills


Key Takeaway

The Certificate in Data Analyst equips learners with in-demand data interpretation and reporting skills, enabling careers in analytics, business intelligence, MIS, and decision support. Certified professionals in India enjoy high employability, strong salary growth, and opportunities across industries and sectors.