1-to-1 Personal Mentorship

Data Science & Machine Learning Course in Pune

Hands-On Analytics & Data Coding Bootcamp: Master pandas, ML algorithms & predictive modeling with real-world internship and career readiness coaching.

Next Intake: October 1, 2026 (4 Seats Left)
14 Weeks
₹22,999 (Value-Driven Pricing)
Shivane, Pune & Online
430+ Candidates Mentored
Pune Salary Outlook: ₹5.5 – ₹13.5 LPA
Lab Overview: Everyone is selling AI magic. We teach the code that makes AI possible. If you want a classroom with a certificate, the traditional institutes are waiting for you. If you want to ship production code, you come here. Reserve a seat in the lab. We bypass mass-classroom lecture batches to focus on 1-to-1 code execution.
WhatsApp Inquiry Request Call back

Apply for a Seat in the Lab

Data Privacy & Consent Notice
OverviewSyllabusFees & OptionsInterview QsRoadmapProject IdeasBeginner GuideCertificationsComparison

Course Overview

We do not offer generic courses. We assign you a dedicated seat in the lab under a senior developer who reviews your commits daily. Fix your logic, ship your code, refactor your system. Say goodbye to 30-student classroom factories and standard pre-recorded video loops. We prioritize proof of skill via active GitHub contribution graphs and deployed staging environments. At CACTS, you construct and deploy actual SQL Databases, Pandas Analytics, and business intelligence systems from day one, completing your technical milestones by committing code to live company repositories. Every course includes hands-on coding labs, live project internships on active staging servers, and 1-to-1 career career readiness coaching.

Why train with CACTS vs the typical market?

Typical Market Courses

  • 30-50 student batches
  • Passive recorded lecture video playback
  • Hardcoded, outdated mock sandbox templates
  • No direct code feedback from developers

CACTS 1-to-1 Training

  • Strictly individual 1-to-1 virtual attention
  • Fully active dynamic pacing based on your grasp
  • Real company git repositories and developer commits
  • Screen-sharing, live code writing, and peer PR reviews

Key Skills You Will Acquire

Python 3.12 Pandas 2.2 & NumPy Scikit-Learn 1.5 & XGBoost 2 Plotly & Seaborn Statistical Hypothesis Testing SQL Analytics & BigQuery Git & JupyterLab

Curriculum Outline

This curriculum is fully customized for you. We adapt the pace based on your learning speed. Our trainers work 1-to-1, detailing every line of code.

Module 1: Descriptive & Inferential Statistics

3 Weeks
  • Central tendency, dispersion, probability distributions
  • Hypothesis testing, p-values, A/B testing principles
  • Sampling techniques and statistical errors

Module 2: Python Data Pipeline

4 Weeks
  • Data collection, cleaning, and preprocessing with Pandas
  • Dealing with missing values and outliers
  • Exploratory Data Analysis (EDA) best practices

Module 3: Structured Querying & Warehousing

3 Weeks
  • Relational database querying with SQL (joins, subqueries, aggregates)
  • Connecting Python to SQL databases
  • Data schema design for analytics

Module 4: Predictive Modeling & Case Projects

4 Weeks
  • Linear and logistic regression implementations
  • Building business dashboards and storyboards
  • Analyzing actual company datasets during the live internship phase

Live Project Internship Integration

Unlike institutes that assign mock projects or simple copy-paste tasks, CACTS bridges the learning gap by placing you on real company software development environments. You will coordinate with active developers, write production code, submit code reviews, and deploy test cases.

  • Hands-on Git access and branch merge policies.
  • Real-world debugging under senior developer code review loops.
  • Staging pipeline deployments.
Learn About Our Live Project Internships >

Related Career & Technical Resource Guides

Explore our developer-vetted glossary definitions, industry comparison analyses, and career roadmap guides for Data Science Training.

Hands-On Implementation Preview

Here is a concrete preview of the production-level code assets and system schemas you will design, write, and deploy during our 1-to-1 live project sessions.

Pandas Data Cleaning Pipeline & Outlier Filtering 

import pandas as pd
import numpy as np

def clean_sales_data(filepath):
    df = pd.read_csv(filepath)
    # Filter missing revenue records
    df = df.dropna(subset=['revenue'])
    # Remove outliers using Interquartile Range (IQR) method
    q1, q3 = df['amount'].quantile([0.25, 0.75])
    iqr = q3 - q1
    df = df[~((df['amount'] < (q1 - 1.5 * iqr)) | (df['amount'] > (q3 + 1.5 * iqr)))]
    return df

Dimensional Star Schema Modeling (MySQL / BI) 

+---------------------------+     +---------------------------+
|      DimCustomers         |     |        DimProducts        |
| CustomerID (PK)           |     | ProductID (PK)            |
| Name                      |     | ProductName               |
| City                      |     | UnitPrice                 |
+------------+--------------+     +-------------+-------------+
             | (1)                              | (1)
             |                                  |
             |             +-----+              |
             +------------>| (*) |<-------------+
                           | FactSales          |
                           | SalesID (PK)       |
                           | CustomerID (FK)    |
                           | ProductID (FK)     |
                           | Quantity           |
                           | Revenue            |
                           +--------------------+

Meet Your Mentor: Hambirrao P

Lead Technology Trainer

Hambirrao P is a senior enterprise technology specialist with 12+ years of hands-on coding experience in enterprise software design, including Spring Boot architecture, Python CLI automation, React layouts, and AWS cloud migrations. He has individually mentored 800+ developers in Pune since 2012.

Course FAQs

When does the next 1-to-1 training intake start?

+

Intakes start twice monthly on the 1st and 15th. The next upcoming 1-to-1 intake starts on October 1, 2026 (with secondary intake on October 15, 2026).

Is the Data Science & Analytics training conducted in batches or 1-to-1 sessions?

+

All training at CACTS is strictly 1-to-1. There are no classroom groups or rigid batch schedules. Mentors work directly with you via private live virtual sessions.

How do students gain live company project experience during the internship?

+

Students compile live production code, merge branches on active Git repositories, participate in developer code reviews, and deploy builds on staging servers.

Where is CACTS Pune physically located for consultations?

+

Our physical office is located at First Floor, Shinde Arcade, NDA Rd, Deshmukh Nagar, Shivane, Pune, Maharashtra 411023. Consultations are available by appointment.

Student Success Stories

Real feedback from students who completed our 1-to-1 virtual Data Science Training training.

5.0 / 5.0 Rating (Based on 3 Verified Student Reviews)

"I wanted to switch my career to Data Science but found large batch classes very overwhelming. At CACTS, the mentor adapted the schedule to my learning pace. They walked me through complex statistics and data cleaning loops on a real project environment."

Priya S.

Junior Data Scientist, Kothrud, Pune
Verify Review ↗

"I needed to learn Python data analysis and SQL queries for business analytics. The 1-on-1 virtual coaching was extremely practical. We worked on cleaning messy datasets using Pandas and building regression models."

Ashish N.

Business Analyst, Shivane, Pune
Verify Review ↗

"The best part about CACTS is that you write code from day one. There are no boring PowerPoint presentations. Learning SQL joins, subqueries, and Python visualization libraries under a mentor's guidance was very effective."

Divya M.

Data Analyst Graduate, Katraj, Pune
Verify Review ↗