Data Science Master Program Training in Chennai

  • 15+Yr of Data Science Master Program Course in Chennai.
  • Career-oriented training with mock interviews, resume building.
  • Trusted by 400+ hiring partners and over 18,000 learners globally.
  • Hands-on projects in Machine Learning, Python, Deep Learning & AI.
  • 24/7 access to recorded classes, downloadable notes & interview prep.
Hands On   40+ Hrs
Projects   4 +
Placement Support   Lifetime Access
3K+

    Course Fees on Month ₹8999 ₹18000
    (Lowest price in chennai)

    See why over 25,000+ Students choose ACTE

    Curriculum of Data Science Master Program Training in Chennai

    Curriculum Designed By Experts

    Expertly designed curriculum for future-ready professionals.

    Industry Oriented Curriculum

    An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company

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      30+  Case Studies & Projects
    •  
      9+  Engaging Projects
    •  
      10+   Years Of Experience
  • Introduction to Python
  • Data types and variables
  • Conditional statements and loops
  • Functions and Lambda expressions
  • Hypothesis testing
  • Correlation and covariance
  • Z-test and T-test
  • ANOVA techniques
  • Chi-square test
  • Data collection techniques
  • Handling missing data
  • Data cleaning best practices
  • Outlier detection and treatment
  • Encoding categorical variables
  • Linear regression model
  • Logistic regression model
  • Model evaluation metrics
  • Overfitting and underfitting
  • TensorFlow basics
  • Building models with Keras
  • CNN fundamentals
  • RNN and LSTM models
  • Model tuning and evaluation
  • Tokenization and lemmatization
  • Stop words and stemming
  • TF-IDF and Bag of Words
  • Text classification techniques
  • Named Entity Recognition (NER)
  • Power BI introduction
  • Data blending in Tableau
  • Calculated fields and filters
  • Visual storytelling best practices
  • Introduction to Apache Spark
  • Spark RDDs and DataFrames
  • Spark SQL basics
  • Machine Learning with Spark MLlib
  • PySpark installation and setup
  • Show More

    Data Science Master Program Training Projects

    Become a Data Science Master Program Expert With Practical and Engaging Projects.

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      Practice essential Tools
    •  
      Designed by Industry experts
    •  
      Get Real-world Experience

    Sales Data Analysis Dashboard

    Create an interactive sales report using Excel or Power BI to visualize product-wise, region-wise, and time-wise sales performance and KPIs.

    COVID-19 Case Tracker

    Clean and process pandemic datasets to show case trends over time using line graphs and heatmaps; use Seaborn for insightful visualizations.

    Email Spam Detection

    Train a Naive Bayes classifier using labeled email datasets to distinguish between spam and legitimate emails based on keyword frequency.

    Credit Card Fraud Detection

    Use anomaly detection techniques like Isolation Forest or Autoencoders on imbalanced transaction datasets to detect fraudulent patterns in real-time.

    HR Analytics – Employee

    Build a classification model (e.g., Decision Tree or Random Forest) that predicts whether an employee will leave the organization using HR data like age

    Twitter Sentiment Analysis

    Use Natural Language Processing (NLP) with TF-IDF and logistic regression to classify tweets as positive, negative, or neutral based on the textual content.

    Real-Time Stock Price Prediction

    Use Long Short-Term Memory (LSTM) neural networks to analyze and forecast stock prices based on time series data, and deploy it as a dashboard or app.

    Autonomous Vehicle Lane Detection

    Build a lane detection system using computer vision techniques like edge detection and region of interest (ROI) masking with OpenCV.

    AI Chatbot Using NLP and RNN

    Design and train a sequence model using Recurrent Neural Networks (RNNs) to build a conversational AI that understands user queries and responds intelligently.

    Key Features

    Practical Training

    Global Certifications

    Flexible Timing

    Trainer Support

    Study Material

    Placement Support

    Mock Interviews

    Resume Building

    Batch Schedule

    Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session

    • 14-July-2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
    • 16-July-2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)

    Weekend Regular (Class 3Hrs) / Per Session

    • 19-July-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)

    Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session

    • 20-July-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)

    Enquiry Form

      Top Placement Company is Now Hiring You!
      • Learning strategies that are appropriate and tailored to your company's requirements.
      • Live projects guided by instructors are a characteristic of the virtual learning environment.
      • The curriculum includes of full-day lectures, practical exercises, and case studies.

      Data Science Master Program Training Overview

      Data Science Master Program Course Training in Chennai With Career Paths

      A Data Science Master Program Training Center in Chennai opens the door to a variety of high-demand and well-paying career paths across industries like healthcare, finance, technology, retail, and government. Graduates of this program can pursue roles such as Data Scientist, who extracts insights from large datasets; Data Analyst, who interprets data and trends to guide business decisions; Machine Learning Engineer, responsible for building predictive models and intelligent systems; or AI Specialist, developing advanced AI solutions. Other emerging roles include Data Engineer, managing complex data pipelines, and Business Intelligence Analyst, focusing on visual storytelling with data. Additionally, those with strong communication and business acumen can become Product Data Managers or Data Science Consultants, advising firms on leveraging data for strategic advantages. With the growth of big data, automation, and AI across sectors, the need for skilled data professionals is booming, ensuring a broad spectrum of opportunities for program graduates.

      The Requirements for Learning Data Science Master Program Training in Chennai

      • Educational Background: While many programs accept a wide range of academic backgrounds, a strong foundation in mathematics, statistics, or computer science is highly beneficial. A bachelor’s degree is typically the minimum requirement.
      • Programming Skills: Basic to intermediate knowledge of Python, R, or SQL is often required or recommended. Some courses include a preparatory module for beginners.
      • Mathematics & Statistics Understanding: Familiarity with linear algebra, calculus, probability, and statistical inference helps in grasping machine learning concepts and algorithm design.
      • Analytical Thinking: Applicants should possess strong analytical and problem-solving skills to understand and manipulate data in real-world scenarios.
      • Tools & Platforms Awareness: Prior exposure to tools such as Excel, Jupyter Notebooks, or BI platforms like Power BI/Tableau is a plus, though not mandatory.

      Enrolling in Data Science Master Program Training in Chennai

      The digital economy is driven by data, and the ability to harness, analyze, and act on this data is a critical competitive advantage for modern enterprises. Enrolling in a Data Science Master Program Training Institute in Chennai equips you with the in-demand skills needed to unlock insights from massive datasets using advanced analytics, machine learning, and AI. Whether you're switching careers or aiming for advancement, the program provides a structured path to master essential tools and technologies like Python, SQL, Hadoop, and TensorFlow. Moreover, the program focuses on hands-on learning with real-world projects that mirror industry needs, allowing you to build a practical portfolio. As businesses increasingly rely on data-driven strategies, your expertise will make you indispensable in sectors such as finance, e-commerce, healthcare, and tech. With competitive salaries, diverse job options, and opportunities for remote work, enrolling in this program is a smart investment in a future-proof career.

      Techniques and Trends in Data Science Master Program Development Course in Chennai

      • Machine Learning & Deep Learning: Students learn to build, train, and optimize supervised and unsupervised models, including decision trees, neural networks, and SVMs.
      • Natural Language Processing (NLP): Programs increasingly focus on text mining, sentiment analysis, and language modeling, especially in the context of chatbots and social media analysis.
      • Cloud Computing & MLOps: Courses now cover model deployment using AWS, Azure, and GCP, as well as DevOps practices for maintaining ML pipelines.
      • Data Ethics and Privacy: Modern curricula incorporate ethical practices, data governance, and GDPR compliance as critical components of responsible data science.
      • Edge AI and Real-Time Analytics: Courses now include insights into real-time data processing and AI model deployment on edge devices like IoT sensors.

      The Most Recent Data Science Master Program Training Class in Chennai with Tool

      Modern Data Science Master Programs are built around the most current and robust tools that reflect industry needs. These include Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch) for modeling and analysis and SQL for database querying. Visualization tools like Power BI, Tableau, and Seaborn are staples for storytelling with data. Programs also incorporate Jupyter Notebooks and Google Colab for collaborative coding environments. On the big data side, platforms like Apache Spark, Hadoop, and Kafka are taught for handling complex datasets. For cloud-based deployment and collaboration, tools like AWS SageMaker, Google Cloud AI Platform, and Azure Machine Learning Studio are integrated. Git and GitHub support version control and project collaboration, while containerization with Docker and Kubernetes is becoming standard in advanced deployments. The inclusion of AutoML tools and MLOps pipelines further equips learners with the latest in automation and production-level data science.

      Add-Ons Info

      Career Opportunities  After Data Science Master Program Training

      Data Scientist

      A Data Scientist uses statistical techniques, machine learning algorithms, and data visualization tools to analyze complex datasets and derive actionable insights. They are responsible for developing predictive

      Data Analyst

      Data Analysts specialize in interpreting structured data to help organizations make strategic decisions. They collect, clean, and organize data using SQL, Excel, and visualization tools like Power BI or Tableau.

      Machine Learning Engineer

      Machine Learning Engineers design, build, and deploy scalable machine learning models into production environments. They work at the intersection of data science and software engineering, using tools.

      Business Intelligence (BI) Developer

      BI Developers create interactive dashboards and data visualizations that allow business users to make informed decisions. Using BI tools such as Tableau, Power BI, and Looker, they transform raw data into visual

      Data Engineer

      Data Engineers focus on the architecture and infrastructure of data systems. They build robust data pipelines, ensure efficient ETL (Extract, Transform, Load) processes, and manage data warehouses.

      AI/NLP Specialist

      An AI or NLP (Natural Language Processing) Specialist develops systems that understand and process human language. They use techniques such as tokenization, sentiment analysis, named entity recognition.


      Skill to Master
      Python Programming
      Data Wrangling & Cleaning
      Statistical Analysis
      Exploratory Data Analysis
      Machine Learning Algorithms
      Deep Learning with Neural Networks
      Natural Language Processing
      Big Data Technologies
      SQL and Database Management
      Cloud Computing & MLOps
      Data Visualization & Storytelling
      Model Deployment & Version Control
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      Tools to Master
      Python
      R
      Jupyter Notebook
      SQL
      Pandas
      NumPy
      Matplotlib & Seaborn
      Scikit-learn
      TensorFlow & Keras
      Apache Spark
      Tableau / Power BI
      Git & GitHub
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      Our Instructor

      Learn from certified professionals who are currently working.

      instructor
      Training by

      Swathi, having 7 yrs of experience

      Specialized in: Data Science Master Program Recruitment, Onboarding, Performance Management, and Data Migration.

      Note: Swathi is recognized for her expertise in cloud-based HR analytics and her ability to facilitate seamless transitions from traditional systems to advanced data-driven solutions in enterprise environments.

      Job Assistant Program

      We are proud to have participated in more than 40,000 career transfers globally.

      Data Science Master Program Certification

      Certificate
      GET A SAMPLE CERTIFICATE

      Pursuing a Data Science Master Program certification is a strategic career move for anyone aiming to break into or advance in the data-driven industry.

    • Skill Validation
    • Resume Enhancement
    • Expanded Career Opportunities
    • Career Transition Support
    • Guaranteed Employment
    • Stronger Resume Appeal
    • Proof of Practical Knowledge
    • Better Job Prospects with Extras
    • While formal prerequisites can vary by institution, most certification programs expect candidates to have a basic understanding of programming (preferably Python), fundamental statistics, and analytical thinking.

    • Complete Training Modules
    • Work on Real-World Projects
    • Attempt Mock Exams
    • Review Core Concepts
    • Online Availability
    • Remote Proctoring
    • Basic Setup Required
    • Flexible Scheduling
    • Real-world experience can significantly enhance your understanding of data science concepts, but it is not a prerequisite for earning the certificate.

      Absolutely. ACTE’s Data Science Master Program Training Certification is designed to provide industry-aligned, job-ready skills using current tools and technologies.

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      Frequently Asked Questions

      • Yes, ACTE offers demo sessions so you can evaluate the quality of the training.
      • The session includes: sample lecture content, Q&A interaction with the trainer, and course structure overview.
      • ACTE instructors are industry professionals with 8+ years of experience in data science and analytics.They have worked in top companies and bring real-world problem-solving expertise into the classroom.
      • Yes, ACTE provides dedicated placement support, which includes resume building, mock interviews, job referrals, and connecting with hiring partners.They also offer one-on-one mentorship and soft skill grooming to help learners confidently face real-world job scenarios.
      • You'll receive a globally recognized certification from ACTE upon course completion.
      • The certificate validates your data science skills and is a valuable asset in your resume during job applications.
      • Yes, students work on live, industry-relevant projects as part of the training.These projects are aligned with real business problems and include domains such as retail, finance, healthcare, and e-commerce, helping learners apply theoretical concepts to practical situations.

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      • Flexibility: Online, weekends & more.
      • Hands-on: Projects & practical exercises.
      • Placement support: Resume & interview help.
      • Lifelong learning: Valuable & adaptable skills.
      • Full curriculum: Foundational & advanced concepts.

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