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Become a Data Scientist in 6 Months

Best Data Science Course in Kolkata with Gen AI & ML - 100% Job Placement Assistance

Learn professional Data Science with our comprehensive training program in Kolkata. This 6-month course is designed for beginners and professionals who want to master Python, Machine Learning, AI, and Data Analytics. Get hands-on training with real-world datasets guided by expert data scientists with years of industry experience.

🐍 Python 🤖 Machine Learning 📊 Tableau 🗄️ SQL 🧠 Deep Learning 📈 Power BI
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⭐ 4.9/5 Google ⭐ 4.8/5 JustDial
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⏳ Limited seats available for 2026 batch

Our Students are Working In

17+

Years of Excellence

15000+

Students Trained

100%

Job Assistance

15+

Live Projects

Detailed Course Content

  • Python Basics – Variables, Data Types, Loops, Functions
  • Lists, Tuples, Dictionaries, and Sets
  • String Manipulation and Regular Expressions
  • File Handling – Reading/Writing CSV, JSON, Excel
  • Error Handling and Debugging Techniques
  • Object-Oriented Programming (OOP) in Python
  • Working with Modules and Packages (NumPy, Pandas)
  • List Comprehensions and Lambda Functions
  • Working with Dates and Times
  • Python for Data Engineering – ETL Basics
  • Writing Efficient Python Code
  • Introduction to Jupyter Notebook & Google Colab
  • Building Your First Data Analysis Script

  • NumPy Arrays – Creation and Operations
  • Array Indexing, Slicing, and Broadcasting
  • Mathematical and Statistical Functions in NumPy
  • Introduction to Pandas – Series and DataFrame
  • Reading Data from CSV, Excel, SQL, and APIs
  • Data Cleaning – Handling Missing Values
  • Data Transformation – Mapping, Replace, Apply
  • Filtering, Sorting, and Grouping Data
  • Merging, Joining, and Concatenating DataFrames
  • Pivot Tables and Cross-Tabulations
  • Time Series Analysis with Pandas
  • Handling Large Datasets Efficiently
  • Real Project: Data Cleaning & Exploratory Analysis

  • Introduction to Data Visualization Principles
  • Matplotlib – Line Charts, Bar Charts, Histograms
  • Scatter Plots, Pie Charts, and Box Plots
  • Customizing Plots – Colors, Labels, Legends
  • Seaborn – Statistical Data Visualization
  • Heatmaps, Pairplots, and Distplots
  • Advanced Visualizations – Violin, Swarm, KDE Plots
  • Plotly – Interactive Dashboards
  • Creating Subplots and Facet Grids
  • Dashboard Creation with Multiple Visualizations
  • Real Project: Exploratory Data Analysis (EDA) Report

  • Introduction to Relational Databases
  • SQL Basics – SELECT, FROM, WHERE, ORDER BY
  • Filtering with WHERE, IN, BETWEEN, LIKE
  • JOINs – INNER, LEFT, RIGHT, FULL OUTER
  • Aggregate Functions – COUNT, SUM, AVG, MIN, MAX
  • GROUP BY and HAVING Clauses
  • Subqueries and Common Table Expressions (CTEs)
  • Window Functions – ROW_NUMBER, RANK, LAG, LEAD
  • Creating and Managing Tables, Views, Indexes
  • SQL Performance Tuning for Data Scientists
  • Connecting Python to SQL Databases
  • Real Project: SQL-Based Data Extraction and Analysis

  • Descriptive Statistics – Mean, Median, Mode
  • Measures of Dispersion – Variance, Std Dev, Range
  • Probability Theory and Probability Distributions
  • Normal, Binomial, Poisson Distributions
  • Central Limit Theorem
  • Hypothesis Testing – T-Test, Chi-Square, ANOVA
  • P-Values, Confidence Intervals, and Significance Levels
  • Correlation vs Causation
  • Inferential Statistics and Sampling Techniques
  • Bayesian Statistics Basics
  • Statistical Analysis with Python (SciPy, Statsmodels)
  • Real Project: A/B Testing Analysis

  • Introduction to Machine Learning – Types (Supervised, Unsupervised, Reinforcement)
  • Data Preprocessing – Scaling, Normalization, Encoding
  • Train-Test Split and Cross-Validation
  • Linear Regression and Polynomial Regression
  • Logistic Regression for Classification
  • Decision Trees and Random Forest
  • Support Vector Machines (SVM)
  • K-Nearest Neighbors (KNN)
  • Naive Bayes Classifier
  • K-Means Clustering (Unsupervised Learning)
  • Hierarchical Clustering and DBSCAN
  • Principal Component Analysis (PCA)
  • Model Evaluation – Accuracy, Precision, Recall, F1-Score, ROC-AUC
  • Real Projects: Multiple ML Model Implementations

  • Introduction to Neural Networks and Perceptrons
  • Activation Functions – Sigmoid, ReLU, Tanh, Softmax
  • Forward and Backward Propagation
  • Building Neural Networks with TensorFlow and Keras
  • Convolutional Neural Networks (CNN) for Image Data
  • Recurrent Neural Networks (RNN) and LSTMs
  • Natural Language Processing (NLP) Basics
  • Transfer Learning and Pre-trained Models
  • Hyperparameter Tuning for Deep Learning
  • Handling Overfitting – Dropout, Regularization
  • Real Project: Image Classification or Sentiment Analysis

  • Introduction to Business Intelligence and Dashboards
  • Tableau – Connecting Data Sources
  • Creating Charts, Maps, and Interactive Dashboards
  • Calculations, Parameters, and Filters in Tableau
  • Tableau Storytelling and Sharing Insights
  • Power BI – Data Modeling and Relationships
  • DAX Functions and Measures
  • Interactive Reports and Dashboards in Power BI
  • Publishing and Sharing Power BI Reports
  • Real Project: Executive Dashboard Creation

  • Building a GitHub Portfolio of Data Science Projects
  • Creating a Data Science Resume and LinkedIn Profile
  • Kaggle Profile Setup and Competition Participation
  • Writing Effective Data Science Case Studies
  • Mock Interviews – Technical and HR Rounds
  • Python, SQL, and Statistics Interview Questions
  • Machine Learning Concepts for Interviews
  • Final Capstone Project – End-to-End Data Science Solution

Tools & Technologies Covered

Python

Python

Pandas

Pandas

NumPy

NumPy

Scikit-learn

Scikit-learn

TensorFlow

TensorFlow

Tableau

Tableau

Power BI

Power BI

SQL

SQL

Why Acesoftech Academy

Your Gateway to a Successful Data Science Career

Data Science Training Since 2016

Acesoftech Academy has been providing Data Science Courses since 2016. We have successfully trained 2000+ data scientists now working at leading companies across India and globally.

Industry-Ready Curriculum

Our curriculum is designed by industry experts covering Python, ML, Deep Learning, SQL, Tableau, and real-world case studies from finance, healthcare, and e-commerce domains.

15+ Live Projects

Work on real-world datasets from Kaggle and industry partners. Build a strong portfolio that showcases your data analysis, machine learning, and visualization skills.

Expert Faculty

Learn from experienced data scientists with 10+ years of industry experience. Get personalized attention and mentoring throughout the course.

100% Job Assistance

Dedicated placement support with 100+ hiring partners. Resume building, mock interviews, and job referrals until you get placed.

Industry Recognized Certification

Receive a Diploma Certificate in Data Science recognized by leading IT companies and MNCs in India and abroad.

Our Training Process

A Step-by-Step Journey to Become a Professional Data Scientist

01
LIVE CLASSES
Interactive instructor-led sessions
02
CODING PRACTICE
Daily hands-on assignments
03
PROJECTS
Real-world data projects
04
CERTIFICATE
Industry-recognized certification
05
PLACEMENTS
100% job assistance

Students Testimonial

What Our Students Say About Us

~Debjit Chatterjee

"I joined the Data Science course with zero programming background. The trainers made Python and ML concepts so easy to understand. I now work as a Junior Data Analyst at a leading e-commerce company in Kolkata. Thank you Acesoftech!"

~Srijani Mukherjee

"The curriculum is very well structured. The Pandas and NumPy modules were excellent. I am now working as a Data Analyst at a fintech company. The placement team was very supportive throughout my job search."

~Rohan Dey

"The Machine Learning and Deep Learning modules were outstanding. The real-world projects helped me build a strong portfolio. I secured a position as a Data Scientist at a Kolkata-based AI startup within 2 months of completing the course."

Salary Expectations in Kolkata

The demand for Data Scientists and Data Analysts in Kolkata has grown exponentially. Here's what you can expect:

₹3.5 - 5 LPA

Fresher / Entry Level

₹6 - 12 LPA

Mid-Level (2-4 years)

₹15 - 25 LPA

Senior Data Scientist

Data Science Course FAQs

Q. What is Data Science?

Data Science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines statistics, mathematics, programming, and domain expertise to solve complex business problems.

Q. What will I learn in this Data Science course?

You will learn Python programming, NumPy, Pandas, data visualization (Matplotlib, Seaborn, Tableau, Power BI), SQL, statistics, machine learning (Scikit-learn), deep learning (TensorFlow, Keras), and real-world project implementation.

Q. Do I need a technical background to join?

No. We start from the absolute basics. Students from arts, commerce, science, and engineering backgrounds have successfully completed the course. Basic mathematics knowledge is helpful but not mandatory.

Q. What is the duration of the course?

The Data Science course is a 6-month (24 weeks) diploma program with flexible weekday and weekend batches. Each session includes theory, coding demonstrations, and hands-on practice.

Q. Will I get a certificate after completing the course?

Yes, you will receive a Diploma Certificate in Data Science upon successful completion of the course, including all projects and assessments.

Q. Do you provide placement assistance?

Yes, we provide 100% job assistance including resume building, LinkedIn optimization, mock interviews, and referrals to our 100+ hiring partner companies.

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