Data Science Training Classes in Thane
Master Data Science in Thane with Expert-Led Classes
Data Science training in Thane includes Python, R, Machine Learning, AI, and Analytics projects with career-focused guidance.
Why Learn Data Science in Thane?
- Advanced Python & R topics
- Hands-on projects
- Expert guidance and job assistance
Best Data Science Training Options in Thane
Next batch starts Jun 2026 — online for Thane students, classroom at our Pune & Nagpur branches.
Live Online Classes
- Interactive online classes
- Flexible scheduling
- Career mentoring
Pune & Nagpur Branches
- Live classroom sessions
- Premium study materials
- Placement assistance
Roles Thane students can target
Entry-level roles connecting course skills to real interview opportunities — in Pune, Mumbai, Bangalore and remote.
Data Scientist
Machine Learning Engineer
Python Data Analyst
AI/ML Associate
BI Analyst
Junior Data Engineer
What you'll use in every class
Industry tools covered in training, projects, and placement preparation.
Data Science syllabus for Thane students
Each module builds toward projects, resume confidence, and interview answers.
Python Programming for Data Science
- Python syntax, variables, data types, operators, and control flow
- Functions, modules, packages, virtual environments, and pip
- OOP in Python — classes, inheritance, dunder methods, and decorators
- List comprehensions, generators, lambda, map, filter, and itertools
- File handling — reading CSV, JSON, and Excel for data loading
- Jupyter Notebook — running experiments, markdown, and sharing findings
Statistics & Probability for Data Analysis
- Descriptive statistics — mean, median, mode, variance, standard deviation
- Probability basics — distributions, Bayes theorem, and Central Limit Theorem
- Hypothesis testing — t-test, chi-square test, ANOVA, and p-value interpretation
- Correlation and covariance — understanding feature relationships
- Outlier detection and handling skewed or imbalanced data distributions
SQL for Data Scientists
- SELECT queries — filtering, ordering, grouping, and aggregate functions
- Joins — INNER, LEFT, RIGHT, FULL OUTER with real business datasets
- Subqueries, CTEs, and window functions — ROW_NUMBER, RANK, LAG, LEAD
- Data cleaning in SQL — handling NULLs, deduplication, and type casting
- Connecting MySQL to Python — feeding query results into Pandas DataFrames
Data Wrangling with Pandas & NumPy
- NumPy arrays — vectorized operations, broadcasting, and matrix arithmetic
- Pandas Series and DataFrames — loading, indexing, slicing, and filtering
- Data cleaning — handling missing values, duplicates, and inconsistent formats
- Merging, grouping, pivoting, and reshaping datasets for analysis
- Time series data — resampling, rolling windows, and date-based operations
Data Visualization & Exploratory Data Analysis
- Matplotlib — line, bar, scatter, histogram, subplots, and chart customization
- Seaborn — heatmaps, boxplots, pairplots, and statistical chart defaults
- Plotly — interactive charts and dashboards inside Jupyter Notebook
- EDA workflow — identifying patterns, outliers, correlations, and business questions
- Storytelling with data — presenting insights clearly to non-technical stakeholders
Machine Learning Algorithms & Projects
- Supervised learning — Linear Regression, Logistic Regression, Decision Trees
- Ensemble methods — Random Forest, Gradient Boosting, XGBoost
- Model evaluation — accuracy, precision, recall, F1-score, confusion matrix, ROC-AUC
- Feature engineering, selection, and hyperparameter tuning with GridSearchCV
- Unsupervised learning — K-Means clustering, PCA for dimensionality reduction
- Model saving with Pickle/Joblib and serving predictions via a Flask endpoint
Your first class is free.
Attend a demo session before you decide. No obligation, no fees — just learning.
Common doubts from Thane students
Short answers for course, placement, and project expectations.
We offer live online training for students in Thane with the exact same trainers, projects and placement support as our Pune classroom batches. Students from Thane can also join classroom batches at any of our Pune branches (Karve Nagar, Hadapsar, Chinchwad) or Nagpur.
Yes — placement support is identical for online students. Resume preparation, mock interviews and direct introductions to 1750+ hiring companies are included, with roles in Pune, Mumbai, Hyderabad, Bangalore and remote positions.
Yes. The course starts from Python basics with zero assumed knowledge, then progresses into statistics, SQL, data analysis, and machine learning. Students from BSc, commerce, and non-IT backgrounds have successfully completed the course and got placed.
A fresher data scientist or ML engineer in Pune typically earns between ₹4 LPA and ₹6 LPA. With 1–2 years of experience and a strong project portfolio, salaries range from ₹6 LPA to ₹9 LPA. Product companies and AI-focused startups in Pune can pay ₹8–12 LPA for mid-level professionals.
Yes. Data science and machine learning are among the fastest-growing job categories in India. Companies across banking, telecom, healthcare, e-commerce, and IT services are actively hiring. Freshers with Python, SQL, Pandas, and at least 2 portfolio ML projects get shortlisted regularly. Hands-on project skills matter more than theory alone.
Data Analytics focuses on interpreting existing data using Excel, SQL, and Power BI to answer business questions and build dashboards. Data Science goes further — it involves building predictive models using Python, machine learning algorithms, and statistics to forecast outcomes and automate decisions. Choose Data Analytics for reporting roles; choose Data Science for ML and AI-related jobs.
Yes. You will build 4 portfolio-ready ML projects — telecom churn prediction, demand forecasting, loan default risk analysis, and hospital patient readmission model — across different domains so you can explain them confidently in any interview.
Major companies hiring data scientists and ML engineers in Pune include TCS, Infosys, Persistent, Capgemini, Accenture, Mphasis, Zensar, ThoughtWorks, and various fintech and healthtech startups. Freshers from The Kiran Academy have been placed at Capgemini, Infosys, Persistent, and several mid-size product companies.
Yes. Placement support includes resume preparation built around your ML projects, mock interviews for Python, SQL, statistics, and model explanation, GitHub portfolio setup, and dedicated placement calls with interview question preparation.
Most students who complete the course with projects start getting interview calls within 30–60 days of finishing the placement preparation module. Placement timelines vary based on how actively you apply and how well your projects are explained.
