Professional Certificate in Data Analytics
Professional Certificate in Data Analytics
Course Description
Learn Data Analytics Through Practical Training
The Professional Certificate in Data Analytics (PCDA) is a practical and career-focused program designed to develop essential skills in data collection, cleaning, analysis, visualisation and reporting. Students receive hands-on training in Microsoft Excel, SQL, Power BI, Python, Statistics and AI-assisted data analysis. The program includes practical datasets, business case studies, dashboards, assignments and projects to help students understand how raw data can be converted into useful business information.
PCDA Course Syllabus
A structured learning path from data fundamentals to professional dashboards, programming, AI-assisted analysis and capstone projects.
Fundamentals of Data Analytics
Data and Information • Introduction to Data Analytics • Role of a Data Analyst • Data Analyst vs Business Analyst vs Data Scientist • Data-Driven Decision Making • Analytics Life Cycle • Structured, Semi-Structured and Unstructured Data • Qualitative and Quantitative Data • Data Sources • Descriptive, Diagnostic, Predictive and Prescriptive Analytics • KPIs • Business Metrics • Analytical Questions
Advanced Microsoft Excel
Workbook Management • Data Formatting • Tables • Sorting & Filtering • Data Validation • Conditional Formatting • SUM • AVERAGE • COUNT • IF • IFS • AND • OR • SUMIF/SUMIFS • COUNTIF/COUNTIFS • AVERAGEIF/AVERAGEIFS • IFERROR • ROUND Functions
Advanced Functions: VLOOKUP • HLOOKUP • XLOOKUP • INDEX • MATCH • LEFT • RIGHT • MID • LEN • TRIM • TEXTJOIN • SUBSTITUTE • FIND • SEARCH • TODAY • NOW • DATE • DATEDIF • EOMONTH • NETWORKDAYS
Excel Data Analysis, Power Query & MIS Reporting
Data Cleaning • Remove Duplicates • Missing Data • Text to Columns • Flash Fill • Pivot Tables • Pivot Charts • Slicers • Timelines • Power Query • Import CSV/Excel • Data Transformation • Split & Merge Columns • Append Queries • Merge Queries • MIS Reports • KPI Reports • Interactive Dashboards
SQL for Data Analytics
Database & DBMS • Relational Databases • Tables • Primary & Foreign Keys • MySQL • CREATE DATABASE • CREATE TABLE • INSERT • SELECT • DISTINCT • WHERE • BETWEEN • IN • LIKE • NULL • ORDER BY • LIMIT • COUNT • SUM • AVG • MIN • MAX • GROUP BY • HAVING • INNER JOIN • LEFT JOIN • RIGHT JOIN • CASE • Subqueries • CTEs • Views • Date Functions • String Functions • Window Functions • ROW_NUMBER • RANK • DENSE_RANK
Statistics for Data Analytics
Population & Sample • Types of Variables • Mean • Median • Mode • Range • Percentage Analysis • Frequency Distribution • Percentiles • Quartiles • Variance • Standard Deviation • Probability Basics • Sampling • Normal Distribution • Outliers • Covariance • Correlation • Correlation vs Causation • Regression Basics • Trend Analysis • Statistical Interpretation
Microsoft Power BI
Business Intelligence • Power BI Desktop • Data Import • Power Query • Data Cleaning • Data Transformation • Data Modeling • Relationships • Fact & Dimension Tables • Star Schema • Calculated Columns • Measures • DAX • SUM • COUNT • DISTINCTCOUNT • DIVIDE • CALCULATE • FILTER • Time Intelligence • MTD/YTD • Charts • Matrix • KPI Cards • Slicers • Filters • Tooltips • Drill Down • Drill Through • Interactive Dashboard Design • Publishing & Sharing Concepts
Python Programming Fundamentals
Python Setup • Jupyter Notebook • Variables • Data Types • Operators • Input/Output • Strings • Lists • Tuples • Sets • Dictionaries • Conditional Statements • For & While Loops • Functions • Lambda Basics • Modules • File Handling • Basic Exception Handling
Python for Data Analysis
NumPy Arrays • Array Operations • Pandas Series & DataFrames • Reading CSV/Excel • Data Selection • Filtering • Sorting • Missing Values • Duplicates • GroupBy • Aggregation • Merge • Join • Concatenation • Pivot Tables • Matplotlib • Line Charts • Bar Charts • Histograms • Scatter Plots • Box Plots • Exploratory Data Analysis (EDA) • Patterns • Trends • Outliers • Correlation
AI Tools for Data Analysts
Generative AI Fundamentals • Prompt Engineering • AI-Assisted Excel Formulas • SQL Query Assistance • Python Code Assistance • Data Cleaning Suggestions • Analytical Question Generation • Report Summarisation • Business Insight Generation • Visualisation Suggestions • AI Hallucinations • Result Verification • Data Privacy • Responsible AI Use
Business Analytics & Case Studies
Sales Analytics • Customer Analytics • Inventory Analytics • HR Analytics • Financial & Expense Analytics • Education Analytics • Target vs Achievement • Profit & Growth Analysis • Month-on-Month Comparison • Year-on-Year Analysis • KPI Reporting • Business Trends • Actionable Insights • Presentation of Findings
Practical Projects & Portfolio Development
Project Documentation • Analytical Report Preparation • Portfolio Development • Presentation Skills • Introduction to GitHub for Project Presentation
Career Preparation & Final Assessment
Professional Data Analyst Resume • Project-Based CV • LinkedIn Profile Basics • Portfolio Preparation • GitHub Basics • Excel Interview Questions • SQL Interview Questions • Power BI Interview Questions • Python/Pandas Questions • Data Interpretation • Mock Interview • Project Presentation • Final Practical Examination • Project Viva
Software & Tools Covered
What Students Will Learn
Career Opportunities
✓ Data Analyst Intern
✓ MIS Executive
✓ MIS Analyst
✓ Reporting Executive
✓ Business Reporting Assistant
✓ Data Management Executive
✓ Junior BI Analyst
Employment eligibility and requirements may vary according to employer, role, experience and educational qualifications.
Examination Pattern
| Assessment Component | Marks |
|---|---|
| Theory Examination | 100 |
| Practical Examination | 150 |
| Assignments & Internal Assessment | 50 |
| Final Capstone Project & Viva | 100 |
| TOTAL | 400 |
Start Your Data Analytics Journey
Learn Advanced Excel, SQL, Power BI, Python, Statistics and AI Tools through hands-on exercises, dashboards, case studies and practical projects.
Course Syllabus
Fundamentals of Data Analytics
Advanced Microsoft Excel
Excel Data Analysis, Power Query and MIS Reporting
SQL for Data Analytics
Statistics for Data Analytics
Microsoft Power BI
Python Programming Fundamentals
Python for Data Analysis
AI Tools for Data Analysts
Business Analytics and Case Studies
Practical Projects and Portfolio Development
Career Preparation and Final Assessment
Duration: 6 Months