Data Science Course in Kolkata

  • Home
  • Data Science Training in Kolkata

Data Science Training in Kolkata with 100% Placement – Acesoftech Academy

Learn Data Science Course in Kolkata from Acesoftech Academy – the city's leading institute offering top-notch training in this high-demand field. Our comprehensive Data Science course is guided by expert trainers and designed to equip students with the practical skills and theoretical knowledge needed to succeed in the data-driven world.

The course includes hands-on projects, real-time data analysis, and a curriculum enriched with 3 industry-grade Capstone Projects to ensure you're prepared for real-world challenges. Whether you're a student, IT professional, or career switcher, this program is your gateway to mastering Data Science.

At Acesoftech Academy, we are dedicated to your career success. That’s why we offer 100% placement assistance, resume building, and interview preparation to help you secure high-paying roles in analytics, AI, and machine learning.

Our Data Science training in Kolkata covers data analysis, Python programming, machine learning algorithms, predictive modeling, and tools such as Pandas, NumPy, scikit-learn, and TensorFlow. The curriculum is regularly updated to reflect current industry trends and technologies.

Enroll in our classroom training at our Kolkata center or join live online classes from anywhere. With a balanced approach of theory and hands-on implementation, Acesoftech Academy offers the best Data Science course in Kolkata for aspiring data scientists.

Ready to launch your career in Data Science? Join Acesoftech Academy today and take the first step toward becoming a skilled data scientist. Contact us now for course details and upcoming batch schedules.

Python Machine Learning

Data Science Course in Kolkata

Want to launch your career in data analytics and AI? Acesoftech Academy offers the best Data Science Course in Kolkata that covers end-to-end training in Python programming, data visualization, machine learning algorithms, and predictive analytics. This course is ideal for beginners and professionals aiming to become skilled data scientists.

As one of the top-rated Data Science training institutes in Kolkata, Acesoftech Academy offers project-based learning guided by industry experts. You'll master skills like data preprocessing, exploratory data analysis, regression, classification, clustering, and deep learning using tools such as Pandas, NumPy, scikit-learn, TensorFlow, and Matplotlib.

Over 120+ students have landed jobs in top MNCs after completing our Data Science with Python course in Kolkata. With a modern curriculum, hands-on training, and 100% placement assistance, this course is your stepping stone into high-growth careers in AI, analytics, and automation. Join now and work on real-world data challenges that power industries like healthcare, e-commerce, and finance.

  • Build real-world projects using Python, NumPy, Pandas & TensorFlow
  • Learn key Data Science concepts: EDA, model evaluation, ML algorithms, and data visualization
  • Get hands-on experience with live datasets and industry case studies
  • 100% placement support and interview preparation with expert guidance

Become a Freelance Data Scientist

Whether you're aiming for freelance gigs or full-time analytics roles, our Data Science course in Kolkata prepares you for success. Work on practical projects like sales forecasting, customer segmentation, fraud detection, and recommendation systems to gain real-world experience and build a strong portfolio for platforms like Upwork, Fiverr, or leading startups.

Start Your Career in Data Science & AI

This course prepares you for job roles such as Data Analyst, Data Scientist, Business Intelligence Developer, or AI Engineer. You'll learn to manipulate large datasets, extract insights, build models, and deploy them using modern tools and cloud platforms.

Why Enroll at Acesoftech Academy for Data Science Training?
  • One of the best institutes in Kolkata offering practical Data Science training
  • Learn from Umar Sir, a data expert with 18+ years of teaching and industry experience
  • Flexible class schedules – weekday and weekend batches available
  • 100% placement support plus mentorship for freelancing projects
  • Available in both online and offline formats for maximum convenience
  • Learn in-demand skills including model tuning, cloud deployment, and advanced analytics
Explore Our Data Science Course Curriculum in
  1. Overview of Data Science
    • What is Data Science?
    • Data Science Life Cycle
    • Applications of Data Science
    • Roles of a Data Scientist
    • Introduction to Data Analytics
    • Data Science vs. Business Intelligence
    • Introduction to AI, Machine Learning & Deep Learning
  2. Setting Up Environment
    • Installing Python and IDEs (Jupyter, VS Code, Google Colab)
    • Introduction to Anaconda
    • Basics of Git and GitHub
  1. Python Fundamentals
    • Data types, Variables, Operators
    • Control Structures: if-else, loops
    • Functions and Lambda expressions
    • Data structures: Lists, Tuples, Sets, Dictionaries
    • Exception handling
    • File handling (read/write files)
  2. Object-Oriented Programming (OOP)
    • Classes and Objects
    • Encapsulation, Inheritance, Polymorphism
    • Modules and Packages
  1. NumPy
    • Arrays and Vectorized Computations
    • Mathematical and Statistical Functions
    • Broadcasting and Indexing
  2. Pandas
    • Series and DataFrames
    • Data Selection, Filtering, Sorting
    • Handling Missing Data
    • Data Aggregation and Grouping
    • Data Cleaning and Transformation
  3. Matplotlib & Seaborn
    • Plotting Graphs: Line, Bar, Histogram, Scatter
    • Customizing Plots
    • Advanced Visualizations: Heatmaps, Pairplots
    • Combining Matplotlib & Seaborn
  1. Descriptive Statistics
    • Mean, Median, Mode
    • Variance and Standard Deviation
    • Skewness and Kurtosis
    • Percentiles and Quartiles
  2. Probability Concepts
    • Basics of Probability
    • Conditional Probability
    • Bayes Theorem
    • Discrete and Continuous Distributions
  3. Inferential Statistics
    • Sampling and Sampling Distribution
    • Hypothesis Testing
    • Confidence Intervals
    • t-tests, Chi-square test, ANOVA
  1. Understanding Data Distributions
  2. Data Visualization Techniques
  3. Outlier Detection
  4. Correlation and Covariance
  5. Feature Engineering and Feature Selection
  6. Using Pandas Profiling & Sweetviz
  1. Supervised vs Unsupervised Learning
  2. Overview of ML Algorithms
  3. Data Preprocessing and Scaling
  4. Train-Test Split and Cross-Validation
  5. Evaluation Metrics: Accuracy, Precision, Recall, F1 Score
  6. Bias-Variance Tradeoff
  1. Regression
    • Linear Regression
    • Multiple Linear Regression
    • Polynomial Regression
    • Evaluation with R-squared, RMSE
  2. Classification
    • Logistic Regression
    • Decision Trees
    • Random Forest
    • Support Vector Machines (SVM)
    • K-Nearest Neighbors (KNN)
    • Naive Bayes
  1. Clustering Techniques
    • K-Means Clustering
    • Hierarchical Clustering
    • DBSCAN
  2. Dimensionality Reduction
    • Principal Component Analysis (PCA)
    • t-SNE
  3. Anomaly Detection
  1. Neural Networks Basics
  2. Perceptron and Multilayer Perceptron
  3. Activation Functions
  4. Forward and Backpropagation
  5. Introduction to TensorFlow and Keras
  1. Convolutional Neural Networks (CNNs)
  2. Recurrent Neural Networks (RNNs)
  3. Long Short-Term Memory (LSTM)
  4. Autoencoders
  5. Transfer Learning
  6. Practical Projects using CNN and RNN
  1. Text Preprocessing Techniques
  2. Bag of Words and TF-IDF
  3. Word Embeddings: Word2Vec, GloVe
  4. Sentiment Analysis
  5. Text Classification
  6. Topic Modeling
  7. Introduction to Transformers and BERT
  1. Introduction to Big Data and Hadoop Ecosystem
  2. HDFS and MapReduce
  3. Apache Spark Basics
  4. Spark SQL and DataFrames
  5. Working with Streaming Data
  6. NoSQL Databases (MongoDB, Cassandra)
  1. Model Serialization (Pickle, Joblib)
  2. Building REST APIs using Flask and FastAPI
  3. Introduction to Docker for Deployment
  4. Cloud Platforms Overview (AWS, GCP, Azure)
  5. Monitoring and Maintenance of Models
  1. End-to-End Data Science Project
  2. Problem Statement and Data Collection
  3. Data Cleaning and EDA
  4. Model Building and Evaluation
  5. Model Deployment
  6. Case Studies from Various Domains (Finance, Healthcare, Retail, Social Media)
  7. Project Presentation and Documentation
Meet Your Data Science Trainer

This Data Science training program is conducted by a highly experienced data science expert at Acesoftech Academy. With over 18 years of industry experience, the trainer excels in transforming raw data into actionable insights using Python, SQL, Tableau, and other advanced tools.

Having guided hundreds of students and professionals, the trainer follows a practical, project-driven teaching approach. Learners work on real-world datasets and case studies, gaining hands-on skills in data collection, cleaning, analysis, visualization, and interpretation. The course covers essential technologies such as Python, NumPy, Pandas, Matplotlib, SQL, Tableau, and more. Whether you aspire to build a career in data science or enhance your analytical capabilities, this program equips you with the knowledge, confidence, and mentorship needed to succeed.

Student Testimonials

Success Stories from Our Data Science Learners

With no prior coding experience, this Data Science course helped me master Python and SQL. I built an interactive dashboard analyzing sales data that impressed my current employer!

Priya Verma

The hands-on projects were invaluable! I developed a customer segmentation model using clustering techniques and presented it to my team, which helped improve marketing strategies.

Aditya Sharma

Thanks to the course’s focus on real-world datasets, I was able to land a data analyst role. Building a predictive model for customer churn gave me practical insights and confidence.

Sneha Kapoor

As an IT professional transitioning to data science, this course gave me a solid foundation in data visualization and exploratory data analysis. I’m now freelancing on exciting projects!

Rahul Mehta

FREQUENTLY ASKED QUESTIONS

Data Science Course FAQs

Basic familiarity with Python is helpful, but our course covers Python fundamentals from scratch to ensure beginners can keep up easily.

You’ll engage in practical projects like data analysis, visualization dashboards, customer segmentation, and predictive modeling using libraries like Pandas, Matplotlib, and Scikit-learn.

Yes, the course is designed to accommodate beginners with no prior experience, starting with basics of statistics, Python programming, and gradually advancing to data science techniques.

Absolutely! The course includes an introduction to machine learning concepts, algorithms, and popular AI frameworks to give you a strong foundation in these areas.

Yes, we offer flexible learning options including live online sessions, recorded lectures, and personalized mentoring to suit your schedule.

Yes, upon successful completion you will earn a certificate from Acesoftech Academy to showcase your skills on LinkedIn, resumes, and job portals.

Definitely. The curriculum includes portfolio development, freelancing guidance, and interview preparation to help you succeed in job roles such as Data Analyst or Data Scientist.

Yes, we offer placement support including resume building, recruiter connections, and regular updates on internships and job openings through our industry network.

We have a satisfaction guarantee policy. If you’re not happy after attending the first two sessions, you can request a refund or switch to another course that suits you better.

icon
Data Science Support
  • Python, Pandas & NumPy
  • Data Visualization & Statistics
  • Machine Learning Basics & AI
  • Job & Freelance Support
Join Data Science Course Now