Data Science With Job Assistance
Build your career in Data Science, Artificial Intelligence and Machine Learning. Learn Python, SQL, Statistics, Data Analytics, Deep Learning, Generative AI and real-time industry projects with CIIT Training Institute.
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Become a Job-Ready Data Scientist
Data Science combines programming, mathematics, statistics and artificial intelligence to extract meaningful insights from data and solve real-world business problems.
At CIIT, learn the complete Data Science process, from collecting and cleaning data to exploratory analysis, predictive modelling, machine learning and AI integration.
- Python programming for Data Science
- SQL and database management
- Statistics, probability and mathematics
- NumPy, Pandas and data manipulation
- Machine Learning algorithms
- Deep Learning and Neural Networks
- Generative AI and Large Language Models
- Power BI, Tableau and data visualization
- Real-time industry projects
- Mock interviews and job assistance
Complete Data Science Technology Ecosystem
Learn the tools and technologies used in modern Data Science, Machine Learning and AI development.
Professional Benefits of Data Science Training
Develop the technical and analytical skills needed for data-driven business environments.
Programming Mastery
Learn Python, R and SQL to process, analyse and interpret complex datasets.
AI & Machine Learning
Build predictive models using machine learning frameworks and modern AI technologies.
Data Storytelling
Convert complex data and statistical findings into meaningful business insights.
Responsible AI
Understand data privacy, responsible AI practices and transparency in algorithms.
Benefits of Learning Data Science
Data Science skills help organisations understand information, predict outcomes and improve decisions.
High Industry Demand
Data-driven skills are used across modern industries.
Career Opportunities
Explore a variety of data and AI-related career roles.
Cross-Industry Applications
Apply Data Science in finance, healthcare, retail and technology.
Predictive Insights
Use models to forecast trends and business outcomes.
Automation
Automate repetitive data processing and analysis tasks.
Customer Intelligence
Understand customer behaviour and improve experiences.
Risk Management
Identify anomalies and potential risks using data models.
Global Opportunities
Build skills applicable across industries and locations.
Technologies You Will Master
Python Programming
Python syntax, functions, OOP, data structures and libraries.
SQL & Databases
Queries, joins, subqueries, database operations and data retrieval.
Statistics & Mathematics
Probability, hypothesis testing, linear algebra and optimization.
Data Analytics
NumPy, Pandas, data cleaning and exploratory data analysis.
Machine Learning
Regression, classification, clustering and predictive models.
Deep Learning
Neural networks, CNNs, RNNs and Transformers.
Generative AI
LLMs, prompt engineering and AI-powered applications.
Visualization
Power BI, Tableau, Matplotlib and Seaborn.
Data Science Course Curriculum
A structured learning path from mathematics and Python fundamentals to AI-powered Data Science applications.
Mathematics & Statistics
- Introduction to Data Science
- Descriptive statistics
- Probability distributions
- Mean, median and mode
- Variance and standard deviation
- Hypothesis testing
- Linear algebra and matrices
- Calculus and optimization
Python Programming
- Python installation and setup
- Variables and data types
- Conditional statements and loops
- Functions and modules
- Lists, tuples, sets and dictionaries
- Object-oriented programming
- File handling and exceptions
- Python practical exercises
SQL & Database Management
- Database fundamentals
- SQL commands and queries
- DDL, DML and DQL
- Joins and subqueries
- Aggregate functions
- Views and stored procedures
- MySQL / PostgreSQL fundamentals
- Data extraction and reporting
Data Analysis with Python
- NumPy arrays and operations
- Pandas Series and DataFrames
- Data cleaning and preprocessing
- Handling missing values
- Data transformation
- Exploratory Data Analysis
- Matplotlib visualizations
- Seaborn statistical charts
Machine Learning
- Introduction to Machine Learning
- Supervised learning
- Linear and Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machines
- Unsupervised learning
- K-Means Clustering
- Model evaluation and validation
Deep Learning
- Artificial Neural Networks
- Perceptrons and activation functions
- Forward and backward propagation
- TensorFlow fundamentals
- PyTorch fundamentals
- Convolutional Neural Networks
- Recurrent Neural Networks
- Transformer architecture
Generative AI & NLP
- Generative AI fundamentals
- Large Language Models
- Prompt engineering
- OpenAI API fundamentals
- Natural Language Processing
- Text classification
- Sentiment analysis
- Named Entity Recognition
- AI-powered applications
Data Visualization & Big Data
- Power BI fundamentals
- Tableau fundamentals
- Interactive dashboards
- Data storytelling
- Apache Spark fundamentals
- Hadoop ecosystem overview
- Big Data processing
- Business reporting
Industry Projects & Career Preparation
- End-to-end Data Science projects
- Real-world dataset analysis
- Predictive model development
- Project documentation
- Model presentation
- Resume preparation
- Technical mock interviews
- Career guidance and job assistance
Artificial Intelligence & Generative AI in Data Science
Modern Data Science increasingly combines traditional analytical techniques with AI-powered workflows. Learn how machine learning, deep learning and Generative AI can be used to solve practical problems.
- Generative AI and LLM fundamentals
- Prompt engineering techniques
- AI-assisted data analysis
- Natural Language Processing
- Text and sentiment analysis
- AI-powered reporting and insights
- Introduction to MLOps concepts
AI-Powered Data Science Skills
Explore emerging AI technologies and learn how to integrate intelligent capabilities into data applications.
Real-Time Data Science Projects
Develop practical skills by working with datasets and solving real-world business problems.
Customer Churn Prediction
Analyse customer behaviour and develop machine learning models to predict customer churn.
Fraud Detection System
Apply classification and anomaly detection techniques to identify suspicious transactions.
House Price Prediction
Build regression models to estimate property prices based on historical data.
Sales Forecasting
Analyse sales patterns and develop forecasting models for business planning.
Sentiment Analysis
Use NLP to analyse customer reviews and identify positive, negative and neutral opinions.
Generative AI Data Assistant
Explore an AI-powered assistant that helps users understand datasets and generate insights.
Who Can Join Data Science Training?
The course can be suitable for learners from different educational and professional backgrounds.
Students with mathematics, statistics and science backgrounds.
Learn analytical and technical skills for a career transition.
Software developers and database professionals upgrading their skills.
Professionals from finance, healthcare, marketing and retail.
Students preparing for technical and analytical careers.
Learners looking to enter Data Science and AI fields.
Data Science Career Path
Progress from entry-level analytical roles to advanced Data Science and AI leadership positions.
Entry Level (0–2 Years)
Mid Level (2–5 Years)
Senior Level (5+ Years)
Career Assistance at CIIT
Salary ranges are indicative figures shown on the CIIT reference page. Actual compensation varies by skills, experience, employer and location. No salary or placement outcome is guaranteed.
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
Industry-relevant and structured course content.
Flexible Schedules
Weekday, weekend, classroom and online batches.
Personalized Attention
Mentoring and individual doubt-solving support.
Real-Time Project Training
Practical training using industry-style projects.
Placement Assistance
Career guidance and placement support.
Affordable Fees
Training options with flexible payment facilities.
Learning Materials
Lifetime access to learning materials as advertised.
Certification Guidance
Guidance towards 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 Learners' Success Stories
Discover student experiences and feedback about training at CIIT Institute.
One of the best institutes for students who want to start their IT career. The team provides guidance and support throughout the learning journey.
Vaibhav Saykar Student FeedbackLearning at CIIT has been a truly rewarding experience. Trainers are knowledgeable, approachable and always ready to help.
Saurabh Lonkar Student FeedbackExcellent training experience with conceptual learning, practical sessions and mock interview preparation.
Anil Kamble Student FeedbackJoin. Learn. Succeed.
Take the first step towards your future in Data Science, Machine Learning and AI.
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Hadapsar – Pune
Office 109, 1st Floor, Manisha Blitz, Solapur-Pune Highway, near Shankar Math, Hadapsar Gaon, Pune – 411013.
+91 7028565830 +91 9975751649Viman Nagar – Pune
Office No. 3A, 1st Floor, Prakash Developers, Near Hotel Rasika, Pune Nagar Road, Vadgaon Sheri, Pune – 411014.
+91 7028561830 +91 9975751649Baramati
Najmi Complex, Opposite Bus Stand, Indapur Road, Baramati – 413102.
+91 7378565351 +91 7028565830