Data Analytics With Job Assistance
Become a job-ready Data Analyst with practical training in Advanced Excel, SQL, Python, Statistics, Power BI, Tableau, Artificial Intelligence and Generative AI. Learn to transform raw data into meaningful business insights through real-time industry projects.
Classroom & Online Training | Practical Learning | Weekday & Weekend Batches | Job Assistance
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Become a Job-Ready Data Analyst
Data Analytics is the process of collecting, cleaning, analysing and interpreting data to discover useful information and support business decisions.
CIIT's Data Analytics training is designed to help students and working professionals develop practical analytical skills using industry-relevant tools including Excel, SQL, Python, Power BI and Tableau.
- Advanced Excel and data analysis
- SQL database querying and reporting
- Python programming for Data Analytics
- Statistics and data interpretation
- Data cleaning and transformation
- Power BI dashboard development
- Tableau data visualization
- AI-powered Data Analytics
- Machine Learning fundamentals
- Real-time industry projects
- Mock interviews and job assistance
Complete Data Analytics Technology Stack
Learn the tools used by professional Data Analysts and Business Intelligence professionals.
Get Job-Ready with Industry-Leading Data Analytics Training
Bridge the gap between raw data skills and strategic business impact through practical training.
Enhanced Job Readiness
Gain hands-on experience with SQL, Python, Excel, Power BI and Tableau.
Credibility & Recognition
Prepare for relevant industry certifications and demonstrate your analytical skills.
Strategic Decision-Making
Learn descriptive, diagnostic and predictive analytics for business decisions.
Career Growth
Explore opportunities in Data Analytics, Business Intelligence and specialized analytics.
Technologies You Will Master
Build technical skills through practical sessions and industry-oriented examples.
Advanced Microsoft Excel
Formulas, functions, Pivot Tables, charts, lookup functions, Power Query and dashboards.
SQL & Database
SQL queries, joins, subqueries, CTEs, window functions and data extraction.
Python for Analytics
Python fundamentals, NumPy, Pandas, data manipulation and automation.
Power BI
Power Query, data modelling, DAX, interactive reports and dashboards.
Tableau
Data connections, worksheets, dashboards, filters and visual storytelling.
Statistics
Descriptive statistics, probability, correlation, hypothesis testing and regression.
AI-Powered Analytics
Use Generative AI tools for data exploration, SQL assistance and insight generation.
Machine Learning Basics
Regression, classification, clustering and predictive analytics fundamentals.
Data Analytics Course Curriculum
Learn from basic data handling to advanced analytics, business intelligence and AI-powered reporting.
Microsoft Excel – Basic & Advanced
- Introduction to Excel
- Workbook and worksheet management
- Data entry and formatting
- Basic and advanced formulas
- IF, SUMIF, COUNTIF functions
- VLOOKUP, HLOOKUP and XLOOKUP
- INDEX and MATCH
- Pivot Tables and Pivot Charts
- Conditional formatting
- Advanced charts and dashboards
- Power Query fundamentals
- Excel VBA fundamentals
SQL & Database Management
- Database fundamentals
- Introduction to SQL
- DDL, DML, DQL and TCL
- SELECT and filtering
- Aggregate functions
- GROUP BY and HAVING
- Inner, Left, Right and Full Joins
- Subqueries and CTEs
- Views and stored procedures
- Window functions
- Ranking and analytical functions
- Query optimization fundamentals
Python Programming for Analytics
- Python installation and environment
- Variables and data types
- Operators and control statements
- Functions and modules
- Lists, tuples, sets and dictionaries
- File handling
- Exception handling
- NumPy arrays and operations
- Pandas Series and DataFrames
- Data cleaning and transformation
- Data filtering and grouping
- Data analysis automation
Statistics & Data Analysis
- Introduction to Data Analytics
- Data types and data collection
- Data cleaning and preprocessing
- Mean, median and mode
- Variance and standard deviation
- Probability distributions
- Correlation and covariance
- Hypothesis testing
- Sampling techniques
- Regression fundamentals
- Exploratory Data Analysis
- Business data interpretation
Power BI & Business Intelligence
- Introduction to Power BI
- Power BI Desktop
- Connecting different data sources
- Power Query Editor
- Data cleaning and transformation
- Data modelling
- Relationships and cardinality
- DAX functions
- Calculated columns and measures
- Time intelligence
- Interactive dashboards
- Power BI Service and publishing
Tableau Data Visualization
- Introduction to Tableau
- Connecting data sources
- Dimensions and measures
- Calculated fields
- Filters and parameters
- Charts and visualizations
- Dashboards and stories
- Geographical visualizations
- Data storytelling
- Dashboard publishing
Generative AI & AI-Powered Analytics
- Introduction to Artificial Intelligence
- Generative AI fundamentals
- Large Language Models
- Prompt engineering
- ChatGPT for Data Analytics
- AI-assisted data cleaning
- AI-assisted SQL query generation
- Power BI Copilot concepts
- Automated report generation
- AI-powered insight generation
- Responsible AI and data privacy
Machine Learning & Emerging Technologies
- Introduction to Machine Learning
- Supervised learning
- Unsupervised learning
- Linear regression
- Logistic regression
- Classification fundamentals
- Clustering techniques
- Predictive analytics
- Big Data fundamentals
- Apache Spark overview
- AWS and Azure cloud concepts
Real-Time Projects & Interview Preparation
- Business requirement analysis
- Dataset collection and preparation
- Data cleaning and validation
- SQL-based data analysis
- Python-based data analysis
- Interactive Power BI dashboards
- Business reporting
- AI-powered analytics project
- Project documentation
- Resume preparation
- Technical mock interviews
- HR interview preparation
AI-Powered Data Analytics Training
Modern Data Analytics combines traditional reporting with Artificial Intelligence to improve productivity, automate repetitive work and discover deeper insights.
Learn how Generative AI tools can assist with data preparation, SQL queries, dashboard development, report writing and business analysis.
- Generative AI for Data Analysts
- ChatGPT for SQL query generation
- AI-assisted Excel analysis
- AI-assisted Python coding
- Power BI Copilot concepts
- Automated business reporting
- AI-powered business insights
- Machine Learning fundamentals
Modern AI Analytics Tools
Learn to combine analytics tools with AI-assisted workflows for better productivity.
Real-Time Data Analytics Projects
Work with practical business datasets and build portfolio-ready analytics projects.
Sales Performance Analytics
Analyse sales, revenue, product performance, customer trends and regional business growth.
Customer Churn Analysis
Identify customer attrition patterns, customer segments and retention opportunities.
Marketing Campaign Analytics
Analyse campaign performance, ROI, customer acquisition and conversion rates.
Financial Data Analytics
Analyse financial transactions, expenses, profitability and business performance.
Healthcare Data Analytics
Analyse healthcare datasets, patient trends and operational performance indicators.
AI-Powered Analytics Assistant
Create an AI-assisted analytics workflow to explore datasets and generate insights.
Who Can Join Data Analytics Training?
Data Analytics is suitable for learners from technical and non-technical backgrounds.
Graduates from Science, Commerce, Arts and Engineering.
Students preparing for analytical and IT careers.
Professionals upgrading their technical and analytical skills.
People planning to transition into Data Analytics.
MBA and business professionals interested in BI and reporting.
Students who want to learn Excel, SQL and Python from basics.
What Are the Benefits of Data Analytics?
Develop technical, analytical and business skills that are valuable across multiple industries.
High Market Demand
Data-driven decision-making is important across industries.
Attractive Career Opportunities
Explore different roles in analytics and business intelligence.
Cross-Industry Applications
Apply analytical skills in finance, healthcare, retail and technology.
Data Visualization
Present complex information through meaningful dashboards.
Analytical Thinking
Improve critical thinking and business problem-solving skills.
Emerging AI Skills
Explore AI, Machine Learning and automated analytics.
Data Analytics Career Path
Follow a structured career journey from junior analyst to analytics leadership.
Entry Level (0–2 Years)
Mid Level (2–5 Years)
Senior Level (5+ Years)
Leadership (8+ Years)
Indicative salary ranges based on the career information displayed on the reference page. Actual salary depends on experience, location, skills and employer. These are not guaranteed placement packages.
Data Analytics Job Assistance Program
Prepare for your next career opportunity with practical guidance and interview preparation.
Resume Preparation
Build a professional resume highlighting your analytics skills and projects.
Technical Mock Interviews
Practice Excel, SQL, Python and Power BI interview questions.
Project Portfolio
Present real-time projects to demonstrate practical experience.
Placement Assistance
Receive career guidance and placement assistance from CIIT.
Key Features That Make CIIT a Better Learning Campus
Expert Trainers
Training from experienced industry professionals.
Modern Infrastructure
Modern facilities and tools for effective learning.
Comprehensive Curriculum
Course content designed around current industry requirements.
Flexible Schedules
Weekday, weekend, classroom and online batches.
Personalized Attention
Individual mentoring and doubt-solving support.
Real-Time Project Training
Practical experience through industry-style projects.
Placement Assistance
Dedicated career support and guidance.
Affordable Fees
Flexible payment options for students.
Learning Materials
Lifetime access to learning materials as advertised.
Certification Guidance
Guidance for relevant industry certifications.
5-Day Money-Back Guarantee
CIIT advertises a 5-day money-back guarantee. Students who are dissatisfied within their first five days can request a refund under the institute's stated guarantee.
Our Students' Success Stories
Explore learner experiences and feedback about training at CIIT Institute.
Learning at CIIT has been a truly rewarding experience. Trainers are knowledgeable, approachable and always ready to help. Each topic is explained clearly.
Saurabh Lonkar Student FeedbackOne of the best institutes for students who want to start their IT career. Special thanks to the CIIT team for their support and guidance.
Vaibhav Saykar Student FeedbackExcellent learning experience with practical training, topic revision, mock interviews and one-to-one doubt solving.
Anil Kamble Student FeedbackJoin. Learn. Succeed.
Take the first step towards your career in Data Analytics, Business Intelligence and AI.
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Hadapsar – Pune
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