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Professional Certificate in Data Analytics

Professional Certificate in Data Analytics

Professional Certificate in Data Analytics

Course Description

CAREER-FOCUSED • PRACTICAL TRAINING

PCDA

Professional Certificate in Data Analytics

Build practical data analytics skills with Advanced Excel, SQL, Power BI, Python, Statistics, AI Tools and real-world projects. Learn how to clean, analyse, visualise and transform data into meaningful business insights.

Advanced Excel SQL Power BI Python AI Tools
Course Information

Start Your Data Journey

Duration
6 Months
Training Hours
240 Hours
Eligibility
10+2 / Equivalent
Training Mode
Theory + Practical + Projects
Explore Complete Syllabus
12
Learning Modules
240
Training Hours
5+
Practical Projects
6
Months Training
Course Overview

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.

Complete Curriculum

PCDA Course Syllabus

A structured learning path from data fundamentals to professional dashboards, programming, AI-assisted analysis and capstone projects.

01

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

02

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

03

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

Practical Project: Sales & MIS Dashboard using Microsoft Excel
04

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

Practical Project: Retail Sales & Customer Database Analysis using SQL
05

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

06

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

Practical Project: Interactive Business Performance Dashboard using Power BI
07

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

08

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

Practical Project: Exploratory Data Analysis using Python & Pandas
09

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

10

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

11

Practical Projects & Portfolio Development

✓ Excel Sales & MIS Dashboard
✓ SQL Retail Database Analysis
✓ Power BI Business Dashboard
✓ Python Data Cleaning & EDA
Final Capstone: Raw Data → Cleaning → Transformation → Analysis → Visualization → Insights → Final Report → Presentation

Project Documentation • Analytical Report Preparation • Portfolio Development • Presentation Skills • Introduction to GitHub for Project Presentation

12

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

TECHNOLOGIES YOU WILL LEARN

Software & Tools Covered

Microsoft Excel Power Query MySQL Power BI Python Jupyter Notebook NumPy Pandas Matplotlib Generative AI Tools
LEARNING OUTCOMES

What Students Will Learn

✓ Clean and organise raw data
✓ Analyse data using Excel
✓ Create MIS reports
✓ Write analytical SQL queries
✓ Apply basic statistics
✓ Build Power BI dashboards
✓ Analyse data using Python
✓ Perform EDA
✓ Use AI responsibly
✓ Present business insights
CAREER PATH

Career Opportunities

✓ Junior Data Analyst
✓ 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.

ASSESSMENT

Examination Pattern

Assessment Component Marks
Theory Examination100
Practical Examination150
Assignments & Internal Assessment50
Final Capstone Project & Viva100
TOTAL 400
BUILD PRACTICAL DATA SKILLS

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.

PCDA • 6 Months • 240 Hours

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


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