- SCO 80-81-82, Sector 34-C Chandigarh
- cnt.tech@hotmail.com
- 91-9216330299
CNT TECHNOLOGIES | PROFESSIONAL TRAINING
Become a Job-Ready Data Analyst with AI & Power BI
Turn raw data into powerful business insights. Master Excel, SQL, Python, Power BI and AI tools through practical training and real-world projects.
3 MonthsDuration
90 HoursTraining
8+ ProjectsPractical Learning
BeginnerEntry Level
Transform Data Into Career Opportunities
Data analytics helps businesses make smarter decisions. Learn how to collect, clean, analyze and visualize data using modern industry tools.
📊
Analyze Data
Learn to clean, process and analyze datasets using Excel, SQL and Python.
📈
Build Dashboards
Create interactive business intelligence reports using Microsoft Power BI.
🤖
AI-Powered Analytics
Use AI tools to assist with queries, calculations, insights and reporting.
Why Choose CNT Technologies?
Learn through practical exercises, real datasets and guided industry-oriented projects.
👨🏫
Expert Trainers
Learn concepts with instructor-led explanations and demonstrations.
💻
Hands-On Training
Practice technical skills through assignments and practical exercises.
📂
Live Projects
Build projects that demonstrate your data analytics skills.
🧠
AI Integration
Explore AI tools for modern data analysis workflows.
🎯
Interview Preparation
Practice technical questions and business case studies.
🚀
Career Guidance
Develop your resume, LinkedIn profile and project portfolio.
What Will You Learn?
Develop technical and analytical skills to work with real-world business data.
- Data cleaning and preprocessing
- Advanced Excel formulas and dashboards
- SQL queries and database analysis
- Python programming and Pandas
- Exploratory Data Analysis
- Power BI reports and dashboards
- DAX calculations and data modeling
- AI-assisted data analysis
- Business insights and reporting
Your Learning Journey
01. Understand business data
02. Clean and organize datasets
03. Query databases using SQL
04. Analyze data using Python
05. Create Power BI dashboards
06. Apply AI tools and complete projects
Complete Course Curriculum
Explore the modules and skills covered in our Data Analytics and Power BI training program.
Module 01 – Introduction to Data Analytics
- What is Data Analytics?
- Types of Data Analytics
- Data Analyst roles and responsibilities
- Data Analytics lifecycle
- Structured and unstructured data
- Understanding business problems
- Real-world datasets
Module 02 – Advanced Microsoft Excel
- Excel interface and data management
- Sorting and filtering
- Conditional formatting
- IF, IFS, SUMIF, COUNTIF, AVERAGEIF
- VLOOKUP and XLOOKUP
- INDEX and MATCH
- Text and date functions
- Pivot Tables and Pivot Charts
- Data cleaning and validation
- Excel dashboards and reporting
Module 03 – SQL for Data Analytics
- Databases and MySQL
- SELECT, WHERE, ORDER BY, DISTINCT
- Aggregate functions
- GROUP BY and HAVING
- String and date functions
- INNER, LEFT and RIGHT JOIN
- Subqueries and CTEs
- CASE statements
- RANK, DENSE_RANK and ROW_NUMBER
- LAG and LEAD
- Running totals
- Data cleaning using SQL
- Business queries and analysis
Module 04 – Python for Data Analytics
- Python fundamentals
- Variables and data types
- Operators and conditional statements
- Loops and functions
- Data structures
- NumPy fundamentals
- Pandas Series and DataFrames
- Data loading and manipulation
- Missing values and duplicates
- Outlier handling
- Data transformation
- Matplotlib and Seaborn
- Exploratory Data Analysis (EDA)
Module 05 – Microsoft Power BI & DAX
- Business Intelligence fundamentals
- Power BI Desktop
- Connecting Excel, CSV and SQL
- Power Query Editor
- Data cleaning and transformation
- Data modeling and relationships
- Star and snowflake schemas
- DAX fundamentals
- Calculated columns and measures
- CALCULATE and FILTER
- SUMX and RELATED
- Time intelligence
- Interactive dashboards
- Slicers and drill-through
- Bookmarks
- Power BI Service
- Publishing and sharing reports
Module 06 – AI for Data Analytics
- Introduction to AI in Data Analytics
- ChatGPT for data analysis
- Effective prompting for analysts
- AI-assisted SQL generation
- AI-assisted Python and Pandas
- Generating DAX formulas with AI
- AI-assisted data cleaning
- AI-powered visualization
- Generating business insights and reports
- Introduction to Power BI Copilot
- Responsible AI and data privacy
Module 07 – Business Intelligence & Analytical Thinking
- KPIs and business metrics
- Sales and revenue analysis
- Customer segmentation
- Profitability analysis
- Trend and growth analysis
- Customer retention and churn
- Business recommendations
- Presenting insights to stakeholders
Module 08 – Real-World Projects
- Sales Performance Analysis using Excel
- Employee Performance Dashboard using Power BI
- E-Commerce Data Analysis using SQL
- Customer Segmentation using Python
- Netflix / Movies Data Exploratory Analysis
- Superstore Sales Dashboard using Power BI
- HR Analytics Dashboard
- End-to-End Business Analytics Capstone Project
Module 09 – Interview & Career Preparation
- Data Analyst interview preparation
- SQL interview questions
- Excel and Power BI interview questions
- Python and Pandas questions
- Business case studies
- Resume preparation
- LinkedIn profile preparation
- GitHub project portfolio
- Mock interviews
Build Real-World Projects
Apply your learning to practical business problems and develop your professional portfolio.
PROJECT 01
Sales Analytics Dashboard
Analyze sales, revenue, profit and regional performance using Power BI.
PROJECT 02
HR Analytics Dashboard
Explore employee attrition, salary distribution and workforce trends.
PROJECT 03
E-Commerce Analysis
Analyze orders, customer behavior and product performance using SQL.
PROJECT 04
Customer Segmentation
Use Python and Pandas to explore customer groups and purchasing patterns.
PROJECT 05
Netflix Data Analysis
Explore content categories and release trends using Python visualization.
PROJECT 06
AI Data Analyst Assistant
Create an AI-assisted application to answer questions about datasets.
Tools & Technologies
Learn widely used tools for data analysis and business intelligence.
ExcelMySQL
PythonNumPy
PandasMatplotlib
SeabornPower BI
DAXPower Query
ChatGPTGitHub
PythonNumPy
PandasMatplotlib
SeabornPower BI
DAXPower Query
ChatGPTGitHub
Career Opportunities
Build foundational skills for entry-level roles in analytics and business intelligence.
Data Analyst
Analyze datasets and discover meaningful patterns.
Junior Data Analyst
Support data cleaning, analysis and reporting.
Business Intelligence Analyst
Create reports and business dashboards.
Power BI Developer
Develop reports, dashboards and data models.
Reporting Analyst
Prepare reports and monitor performance.
MIS Analyst
Manage business information and reporting.
Who Can Join?
- College students and fresh graduates
- Students from any academic background
- Working professionals
- Freshers interested in IT careers
- Professionals upgrading their skills
- Anyone interested in data analytics
Course Prerequisites
- No prior Data Analytics experience required.
- Basic computer knowledge is helpful.
- Interest in numbers and problem-solving.
- Willingness to practice and complete projects.
Frequently Asked Questions
Can beginners join this course?
Yes. The course starts with fundamentals and gradually introduces Excel, SQL, Python, Power BI and AI tools.
Do I need programming knowledge?
No previous programming experience is required. Python and SQL are introduced from the basics.
Will I learn Power BI and DAX?
Yes. You will learn Power Query, data modeling, DAX calculations and interactive dashboard development.
How is AI used in Data Analytics?
You will explore AI-assisted SQL, Python, DAX, data interpretation and report generation.
Will I work on practical projects?
Yes. The curriculum includes practical exercises, projects and an end-to-end capstone.
What career opportunities can this course support?
The skills covered can support applications for entry-level Data Analyst, Reporting Analyst, MIS Analyst and Business Intelligence roles.
Start Your Data Analytics Journey Today!
Master Excel, SQL, Python, Power BI and AI tools. Build practical projects and develop industry-relevant skills.
