)
3K+
See why over 25,000+ Students choose ACTE
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
-
30+ Case Studies & Projects
-
9+ Engaging Projects
-
10+ Years Of Experience
Data Science Master Program Training Projects
Become a Data Science Master Program Expert With Practical and Engaging Projects.
- 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
- 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.
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
Tools to Master
Python
R
Jupyter Notebook
SQL
Pandas
NumPy
Matplotlib & Seaborn
Scikit-learn
TensorFlow & Keras
Apache Spark
Tableau / Power BI
Git & GitHub
Learn from certified professionals who are currently working.
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.
We are proud to have participated in more than 40,000 career transfers globally.
Data Science Master Program Certification
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.
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.
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.
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.