Data Science Course in Thane
Turn data into Data Scientist opportunities with our Data Science Course in Thane. Learn Python, Machine Learning algorithm, Data Analytics, Generative AI, AI Tools, and real-world data science projects with AI through practical, industry-oriented data science training Thane led by experienced IT professionals.
No-cost EMI available
Data Science Course in Thane with Placement & Certification | Python, ML, AI & Data Science
Data Science is helpful to understand large amounts of data or information, identify patterns, and helps to make better business decisions. It is the combination of programming, statistics, data analysis, visualization, and machine learning. A Data Science Course in Thane can help for beginners to understand these concepts step by step and apply them to practical problems.
At Technogeeks, learners are introduced to Python, SQL, statistics, Pandas, NumPy, data cleaning, exploratory data analysis, visualization, and machine learning. We mainly focus on understanding how different concepts work together rather than simply learning individual tools.
For learners who are searching for Data Science Classes Near Me, practical assignments and projects can be more useful than theory alone because hands on give you more ideas about projects. Working with datasets helps students to understand common challenges such as missing values, inconsistent data, analysis, and model evaluation.
Data Science and Machine Learning
Machine Learning(ML) is a part of Data Science. It helps computers learn from existing data, find patterns, and make predictions. Learners can start with basic topics such as Python, SQL, statistics, and data preparation before moving on to machine learning models and their evaluation.
Data visualization helps to present data in a simple and understandable way with the help of tools such as Power BI that can be used to create dashboards and reports from different datasets. A Power BI Course in Thane that can help learners to improve their visualization skills and present data insights more effectively.
Explore Artificial Intelligence and Career Options
Artificial Intelligence (AI) and Data Science are related sectors that use data to solve real-world problems. Data Science involves collecting the data, cleaning, analyzing, and interpreting data, while AI uses methods such as Machine Learning to find patterns, make predictions, and support better decisions. Those students who are interested in these technologies can explore AI Courses in Thane after developing a basic understanding of programming and data concepts.
A Data Science Course should give learners a better understanding of the course along with practical learning. Working on real datasets, completing projects, and getting guidance from trainers who have 15+ years of industrial experience that can help learners improve their technical skills and understand how Data Science is used in real work.
Students who want to attend classroom training so they can choose Data Science Course Offline, those who are working professionals can't come for online classes so they can consider Data Science Course Online with Placement, before enrolling in any course check first their course curriculum, practical projects, interview preparation, and placement assistance.
Why Choose a Data Science Course in Thane?
Technogeeks offers data science training, and the curriculum is designed by IT experts with 15+ years of experience. It is suitable for learners from non-IT backgrounds as well as working professionals, with hands-on experience through real-world projects. If you are looking for a data science institute in Thane, Technogeeks provides placement support until you get placed.
If you are comparing a Data Science Course in Mumbai or other programs, look for a course that starts with basic concepts and covers all advanced topics that are required. Practical projects can help learners to understand how Data Science is used to solve real-world problems.
For learners exploring Data Science in India, the right training depends on their existing knowledge and career goals. Whether you want to learn data analytics, machine learning, or artificial intelligence, building strong fundamentals and gaining practical experience can help you prepare for future opportunities.
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
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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
As your career plan is to become a Data Scientist, then you have to focus on learning data science skills like Python, SQL, Statistics, Data Analytics, Machine Learning, Gen AI, and Power BI. Also you have worked on a real time data science project with AI automation. A job-oriented Data Science Training in Thane with placement and certification can help you build practical skills and prepare for Data Scientist roles. If you are looking for a data science course online with placement in Thane then join Technogeeks.
You want to learn Data Science step by step, then following is data science roadmap for you: Python → SQL → Statistics → Data Analytics → Machine Learning → AI → Data Science Projects. You can join Technogeeks data science classes near me, a Data Science Course in Mumbai, or a Data Scientist Course in Thane where you also get placement assistance in data science job roles.
Data Science ko Hindi mein ham “Data Vigyan” kahte hai. Ismein data ko collect kiya jata hai, analyze kiya jata hai and interpret karke useful insights nikale jaate hain aur Companies ke liye better decisions lene mein help milti hai. Ismein Python, SQL, Statistics, Machine Learning aur AI jaise technologies ka use hota hai.
You can learn the basics and theoretical concepts of Data Science from free online tutorials, Python and SQL practice, other resources.But if you are looking job oriented data science training in Thane with structured, practical data science classes with Machine Learning, AI, real-time projects, and placement assistance, consider the Data Science Course in Nagpur by Technogeeks.
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Data Science course Certification Training locations in Thane:
ThaneWest [400601], ThaneEast [400603], Naupada [400602], VartakNagar [400606], WagleEstate [400604], Kopri [400603], Majiwada [400601], Manpada [400607], GhodbunderRoad [400607], HiranandaniEstate [400607], Balkum [400608], Kalwa [400605], Mumbra [400612], Diva [400612], Kasarvadavali [400615], AnandNagar [400615], Brahmand [400607], Kolshet [400607], Kasarvadavli [400615], Owale [400615], BhiwandiRoad [400601], PokhranRoad [400606], LokmanyaNagar [400606], Upvan [400606], PanchPakhadi [400602], TeenHathNaka [400604], CastleMill [400601], LouisWadi [400604], SandozBaug [400607], Khopat [400601]
Locations Offered:
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