Data Science Course in Nagpur
Industry-based, job-oriented Data Science course in Nagpur with Data Analytics, Machine Learning Algorithms, AI tools, and real-time data science projects. Learn from working IT professionals with 16+ years of experience.
No-cost EMI available
Best Data Science Course in Nagpur | Data Scientist Course in Nagpur with Placement Assistance
Why is Data Science important ?
In today's time Data Science is becoming important. Data Science is shaping the future by combining technologies like data, AI, Python and machine learning and solving real-world problems and helps businesses turn large amounts of data into useful insights for better decision-making. Data science with python and AI has become one of the best careers .
Job-Oriented Data Science Course in Nagpur
Technogeeks Data science institute provides a job-oriented Data Science Course in Nagpur with Gen AI tools best for students, freshers, and working professionals who want to build practical skills in the data-driven technology industry. The data science course syllabus consists of Python, Data Science, Machine Learning, Data Analytics, Artificial Intelligence, statistical analysis, data visualization, and data modeling training along with hands-on learning and real-time projects.
Data Science Classes Near Me
As if you are looking for a Data Science course near me ? Technogeeks Data Science Classes in Nagpur is best for you. In this data scientist course you will learn Python, Statistics, Data Analysis, Machine Learning Algorithms, Gen AI, Data Visualization, Data Modeling, SQL, Deep Learning, and real-time Data Science projects.
Industry-Focused Data Science Training in Nagpur
For learners comparing Data Science Classes in Nagpur or Data Analytics Courses in Nagpur, Technogeeks provides an industry-focused learning approach with practical assignments, live data science with AI projects, certification, internship letter, and placement assistance. The data science curriculum is designed to develop both technical and analytical skills which are a requirement of modern data science companies and analytics teams today.
Start your Data Science Training at Technogeeks Nagpur and prepare for job roles like Data Scientist, Data Analyst, Data Science Engineer, and Python Developer.
- Data Science Course Highlights
- Data Science Course Duration: 6 Months
- Data Science Training Mode: Online & Offline
- Hands-On Projects: Finance, Healthcare, E-Commerce, Banking, and Retail Related Projects
- Certification: Technogeeks X AI Data Science Certification
- Internship: Internship Opportunities Available
- Placement Assistance: Available
Course Curriculum
- What is Python and brief history
- Why Python and who use Python
- Discussion on Python 2 and 3 Unique features of Python
- Discussion on various IDE's
- Demonstration of practical use cases
- Python use cases using data analysis
- Installing python Setting up Python environment for development
- Installation of Jupyter Notebook
- Setting up Python environment for development
- How to access python course material using Jupyter
- Write your first program in python
- Python built-in functions
- Number objects and operations Variable assignment and keywords String objects and operations Print formatting with strings
- List objects and operations
- Tuple objects and operations
- Dictionary objects and operations
- Sets and Boolean
- Object and data structures assessment test
- Introduction to Python statements
- If, elif and else statements
- Comparison operators
- Chained comparison operators
- What are loops
- While loops
- Useful operators
- List comprehensions
- Statement assessment test
- Game challenge
- Methods What are various types of functions
- Creating and calling user defined functions
- Function practice exercises
- Lambda Expressions
- Map and filter
- Nested statements and scope
- Args and kwargs
- Functions and methods assignment
- Milestone Project (Making tic-tac-toe in python)
- Process files using python
- Read/write and append file object
- File functions
- File pointer and operations
- Introduction to error handling
- Try, except and finally
- Python standard exceptions
- User defined exceptions
- Unit testing
- File and exceptions assignment
- Python inbuilt modules
- Creating UDM-User defined modules
- Passing command line arguments
- Writing packages
- Define PYTHONPATH
- Name and Main
- Object oriented features Implement
- Object oriented with Python
- Creating classes and objects
- Creating class attributes
- Creating methods in a class
- Inheritance
- Polymorphism
- Special methods for class
- Assignment - Creating a python script to replicate deposits and withdrawals in a bank with appropriate classes and UDFs.
- Collections module
- Datetime module
- Python debugger
- Timing your code
- Regular Expressions
- StringIO
- Python decorators
- Python generators
- Python inbuilt modules
- Install packages on python
- Introduction to pip, easy install
- Multithreading
- Multiprocessing
- SQL integration with Python
- Table operations in SQL using Python
- CRUD operations in SQL
- Working on multiple tables using Python and SQL
- What is SQL?
- Why we need SQL Integration with Python
- Data types in SQL
- DDL, DML, TCL sub languages in SQL
- Significance and type of Joins in SQL
- Where clause in SQL
- Group by clause in SQL
- Create command in SQL
- Insert command in SQL
- Select command in SQL
- Select command variants in SQL
- Update command in SQL
- Delete command in SQL
- Drop command in SQL
- Truncate command in SQL
- REST principles
- Creating application endpoints
- Implementing endpoints
- Using Postman for API testing
- Python , Database and Front end integration concept, implementation
- Commit and rollback concept in SQL
- Introduction in Excel
- Data Cleaning & Preparation
- Formatting & Conditional Formatting
- Lookup Function
- Analyzing data with Pivot Tables
- Charts
- Data Visualization/Dashboarding using excel
- Data Analysis using statistics
- Lookup Function
- Introduction to data analysis
- Data analysis and Artificial Intelligence Bridge and connecting it to database.
- Introduction to Data Analysis libraries
- Data analysis introduction assignment challenge
- Why Data analysis?
- Introduction to Numpy arrays
- Creating and applying functions
- Numpy Indexing and selection
- Numpy Operations
- Exercise and assignment challenge
- Introduction to Series
- Introduction to DataFrames
- Data manipulation with pandas
- Missing data
- Groupby
- Operations
- Data Input and Output
- Pandas in depth coding exercises
- Text data mining and processing Data mining applications in Data engineering
- File system integration with Pandas
- Excel integration with Pandas
- Operations on Excel using dataframe
- Data aggregation on Excel Data
- Data visualization using Excel data
- Milestone Project – 2
- Plotting using Matplotlib Plotting
- Numpy arrays
- Plotting using object-oriented approach
- Subplots using Matplotlib
- Exercise and assignment challenge
- Matplotlib attributes and functions
- Matplotlib exercises
- Comparison Between Power BI & Programming Based Data Visualization
- Need of Power BI
- Types of Data Sources Supported by Power BI for Report Development
- How to Build Report & Dashboard in Power BI
- How to Build Charts in Power BI
- Data Visualization Using Power BI Features
- Types of Graphs
- Multiple Graphs Combinations
- Multiple File Formats Supported in Power BI
- Data Analysis Without Visualization
- Data Analysis With Visualization
- Need of Mathematics for Data Science
- Exploratory Data Analysis (EDA)
- Numeric Variables
- Qualitative and Quantitative Analysis
- Types of Data Formats
- Measuring the Central Tendency – The Model
- Measuring Spread – Variance and Standard Deviation
- Euclidean Distance
- Understanding Parametric Tests
- Confidence Coefficient
- Understanding Machine Learning
- Scope of ML
- Supervised and Unsupervised learning
- Introduction to Artificial Intelligence
- Introduction to Machine Learning
- Need of Machine learning in forecasting
- Demand of forecasting analytics in current industrial trends
- Introduction to Machine Learning Algorithms Categories
- Introduction to Regression
- Exercise on Linear Regression using sci-kit learn Library
- Project on Linear regression using USA_HOUSING data
- Evaluation of Linear regression using python visualizations
- Practice project for Linear regression using advertisement data set to predict appropriate advertisements for users.
- Introduction to Regression
- Project on Logistic regression using Dogs and horses' dataset
- Getting the correct number of clusters
- Standard scaling problem
- Practice project on KNN algorithm
- Intuition behind Decision trees
- Implementation of decision tree using a real time dataset
- Ensemble learning
- Decision tree and random forest for regression
- Decision tree and random forest for classification
- Evaluation of the decision tree and random forest using different methods
- Practice project on decision tree and random forest using social network
- Data to predict if someone will purchase an item or not
- Linearly separable data Non-linearly separable data
- SVM project with telecom dataset to predict the users portability
- Introduction to PCA Need for PCA
- Implementation to select a model on breast-cancer dataset
- Model evaluation
- Bias variance trade-off
- Accuracy paradox
- CAP curve analysis
- K-means Clustering Intuition
- Implementation of K-means with Python Using Mall Customers Data to Implement Clusters on the Basis of Spending and Income
- Hierarchical Clustering Intuition
- Implementation of Hierarchical Clustering with Python
- A priori theory and explanation
- Market basket analysis
- Implementation of Apriori
- Evaluation of association learning
- POC - To make a model to predict the relationship between frequently bought products together on the given dataset from a supermarket.
- Introduction to Natural Language processing
- NLTK Python library
- Data stemming technique
- Data Vectorization
- Exercise on NLTK
- POC - Apply NLP techniques to understand reviews given by customers in a dataset and predict if a review is good/bad without human intervention
- Neural Network and Deep Learning
- What is TensorFlow?
- TensorFlow Installation
- TensorFlow basics
- TensorFlow with Contrib Learn
- TensorFlow Exercise
- Keras Basics
- Pipeline implementation using Keras
- MNIST implementation with Keras
- Cloud integration with AWS cloud computing
- Hadoop
- HDFS
- Hive
- ETL Development with Python Scripting in Pandas
- Introduction to Generative AI
- Evolution of Generative AI in Industry
- Discriminative Models
- Generative Models
- Difference between Discriminative and Generative Models
- Overview of Foundation Models
- Overview of Large Language Models (LLMs)
- How Foundation Models and LLMs Power Today's AI Assistants and Tools
- Popular Generative AI Tools
- ChatGPT
- Gemini
- Copilot
- Neural networks foundations
- Understanding the Transformer architecture and attention
- Tokenization, embeddings and vector representations
- Calling LLM APIs with Python
- Retrieval-Augmented Generation (RAG) with custom data
- Vector databases and semantic search
- Building apps with LangChain
- Mini project - a document Q&A bot
- Zero-shot and few-shot prompting
- Chain-of-thought prompting, prompt patterns and
- Responsible AI use
- Project use cases Introduction
- Project Scenarios
- Project life cycle
- What is version controlling in project management
- What is GitHub
- Significance of GitHub in project management
- Code submission for testing and deployment
- Predictive analytics tools and techniques
- Project best practices
Our trainers are experts in their fields. They simplify complex concepts for the students and make them easy to understand. They solve each and every type of student's query. Their teaching method is more focused on real-time examples, preparing the students for industry interviews. Students will have one-on-one coaching sessions with them so that they will be able to ask questions at any time.
Key Highlights of Our Trainers:
- Certified Professionals with Over 8 Years of In-Depth Experience
- Imparted Knowledge to Over 2,000 Students Annually
- Demonstrated Strong Theoretical and Practical Expertise in Their Respective Domains
- Possess Expert-Level Subject Knowledge and Stay Current with Real-World Industry Applications
Why Choose Technogeeks?
Everything you need to launch your career in tech
Tools & Technologies You'll Master
23+ industry-standard tools covered in this program
Book Your Seat Today!
Start your journey with just ₹5,000. Watch a free demo first — pay the rest only after you're confident. No-cost installments available.
Training to Placement Journey
From your first session to landing your dream job — every step mapped out.
Frequently Asked Questions
Technogeeks data science institute in Nagpur provides data science courses in Nagpur with a Cohesive syllabus,trainers with 16+ years of experience in particular technology, and job assistance. These data science programs focus on industry-relevant AI tools and practical skills to prepare learners for data science careers. Joining Technogeeks provides a clear learning path.
To become an AI driven Data Scientist, you have to start learning Python, SQL, statistics, data analysis, machine learning, AI, and data modeling, then practice with real-world data science projects. If you are looking for Data Science courses near me for structured learning, the Technogeeks data science institute in Nagpur helps you develop these skills through practical training and projects, preparing you for a job role like Data Scientist.
A Data Scientist Course teaches you about Python, SQL, statistics, data analysis, machine learning, AI, and data modeling in a theoretical and practical way with projects. With Data science classes in Nagpur students and professionals get in depth practical knowledge and apply for data scientist job roles.
A Data Science Course which covers in depth data science skills with a practical approach. Also AI should be integrated with data science training syllabus. For learners in Nagpur, choose a practical Technogeeks Data Science training in Nagpur with hands-on projects and job-oriented training.
If you are starting to study data science to become a Data Scientist then start to study with Python, SQL, Statistics, Excel, Data Analysis, Machine Learning, AI, and Data Modeling, and practice with real-time projects. A practical Data Science Classes in Nagpur, so you can target data science job roles.
What Our Students Say
2,100+ verified Google reviews from real students
Our alumni works here
Join thousands of successful professionals
Find Us in Nagpur
Head Office at Aundh — also available online across India
Book Free Demo
Fill your details and our counselor will contact you
Data analyst course Certification Training locations in Nagpur:
Sitabuldi[440012], Dharampeth[440010], Ramdaspeth[440010], CivilLines[440001], Sadar[440001], Mahal[440032], Ganeshpeth[440018], Itwari[440002], CottonMarket[440018], WardhamanNagar[440008], Manewada[440024], Besa[440037], ManishNagar[440015], NarendraNagar[440015], TrimurtiNagar[440022], PratapNagar[440022], LaxmiNagar[440022], Khamla[440025], HingnaRoad[440016], Wadi[440023], Mankapur[440030], KoradiRoad[440030], Nandanvan[440009], Hudkeshwar[440034], Pardi[440035], Kalamna[440008], KampteeRoad[440026], Jaripatka[440014], ZingabaiTakli[440030], FriendsColony[440013], MedicalSquare[440024], ShankarNagar[440010], SeminaryHills[440006], Gittikhadan[440013], BajajNagar[440010], Ambazari[440033], OmkarNagar[440027], Pipla[440034], ChhatrapatiNagar[440015], NewSnehNagar[440015]
Locations Offered:
Data Science Course Sitabuldi, Data Science Training Dharampeth, Data Science Course Ramdaspeth, Data Science Training Civil Lines, Data Science Course Sadar, Data Science Training Mahal, Data Science Course Ganeshpeth, Data Science Training Itwari, Data Science Course Cotton Market, Data Science Training Wardhaman Nagar, Data Science Course Manewada, Data Science Training Besa, Data Science Course Manish Nagar, Data Science Training Narendra Nagar, Data Science Course Trimurti Nagar, Data Science Training Pratap Nagar, Data Science Course Laxmi Nagar, Data Science Training Khamla, Data Science Course Hingna Road, Data Science Training Wadi, Data Science Course Mankapur, Data Science Training Koradi Road, Data Science Course Nandanvan, Data Science Training Hudkeshwar, Data Science Course Pardi, Data Science Training Kalamna, Data Science Course Kamptee Road, Data Science Training Jaripatka, Data Science Course Zingabai Takli, Data Science Training Friends Colony, Data Science Course Medical Square, Data Science Training Shankar Nagar, Data Science Course Seminary Hills, Data Science Training Gittikhadan, Data Science Course Bajaj Nagar, Data Science Training Ambazari, Data Science Course Omkar Nagar, Data Science Training Pipla, Data Science Course Chhatrapati Nagar, Data Science Training New Sneh Nagar