Data Science Course in Rajaji Nagar
- Data Science expert with 12+ years of experience.
- Reasonable pricing on Data Science Training .
- Tailored Data Science interview preparation.
- 362+ recruiters and 13,409 trained students.
- Online resources, including study guides and interview questions.
)
See why over 25,000+ Students choose ACTE











Curriculam Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculam
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 Training Projects
Become a Data Science Expert With Practical and Engaging Projects.
Titanic Survival Prediction
Analyze the Titanic dataset to predict passenger survival using basic classification algorithms like Logistic Regression and Decision Trees
Stock Price Analysis
Collect historical stock data, visualize trends, and implement simple moving averages to predict future prices, gaining insights into market behavior.
Movie Recommendation
Build a basic recommendation engine using collaborative filtering to suggest movies based on user ratings and learning about data preprocessing.
Customer Segmentation
Customer Segmentation with K-Means Use clustering techniques on customer data to segment a retail market, helping businesses tailor marketing strategies to different customer groups.
Spam Email Detection
Develop a spam classifier using Natural Language Processing (NLP) and machine learning, focusing on text data preprocessing, feature extraction, and model evaluation.
Predicting House Prices
Create a model to predict house prices based on features like location, size, and amenities, using regression techniques and feature engineering for improved accuracy.
Image Classification with CNNs
Implement a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset, optimizing the model with techniques like dropout and data augmentation.
Time Series Forecasting with LSTM
Develop a Long Short-Term Memory (LSTM) model to forecast sales or stock prices, Time Series Forecasting with LSTM handling sequential data and learning about recurrent neural networks.
Reinforcement Learning for Game AI
Reinforcement Learning Create an AI agent that learns to play a game (like Tic-Tac-Toe or a simple maze) using reinforcement learning, focusing on policy gradients and Q-learning.
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
-
17-Feb-2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
-
19-Feb-2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
-
22-Feb-2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
-
23-Feb-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 Training Overview
Goals Achieved in a Data Science Training :
A Data Science Training aims to equip learners with a robust understanding of data analysis, including techniques for data cleaning, manipulation, and visualization. Participants develop proficiency in programming languages such as Python and R, essential for implementing data-driven solutions. The course also focuses on building skills in statistical analysis and machine learning, enabling students to create predictive models and derive actionable insights. By working on real-world projects, learners gain hands-on experience with data-driven decision-making processes. Additionally, the course fosters an understanding of big data technologies and tools, preparing students to handle large-scale datasets. Effective communication of findings through data visualization and reporting is emphasized to ensure insights are accessible and actionable. Ultimately, the course prepares individuals for diverse roles in data science, including data analyst, data scientist, and machine learning engineer.
Future Works for Data Science:
- Advanced Machine Learning Models: Developing and refining sophisticated machine learning algorithms, such as deep learning and reinforcement learning, to solve complex problems and improve predictions.
- AI and Automation Integration: Leveraging data science to enhance artificial intelligence (AI) and automation systems, optimizing processes and decision-making in various industries.
- Ethical AI and Data Privacy: Addressing challenges related to AI ethics and data privacy, ensuring responsible use of data, and building fair, transparent systems.
- Real-Time Data Analytics: Implementing real-time analytics solutions to process and analyze data as it is generated, providing immediate insights and enabling faster decision-making.
- Personalized Customer Experiences: Using data science to deliver highly personalized experiences in marketing, healthcare, and other fields, based on individual preferences and behaviors.
- Interdisciplinary Applications: Applying data science techniques to new fields such as genomics, climate science, and smart cities, driving innovation and solving interdisciplinary challenges.
New Data Science Frameworks:
Recent advancements have introduced several innovative frameworks in data science. PyTorch has gained popularity for its dynamic computational graph and ease of use in developing deep learning models. TensorFlow 2.0 offers an improved and more user-friendly interface for building and deploying machine learning models. Apache Spark continues to be a leading framework for big data processing, with its capability to handle large-scale data analysis efficiently. Dask provides parallel computing with a focus on scaling Python’s data science stack for larger datasets. H2O.ai offers a suite of tools for building and deploying machine learning models, emphasizing automated machine learning (AutoML). KubeFlow integrates with Kubernetes to streamline the deployment and management of machine learning workflows, enabling scalable and reproducible data science operations.
Trends and Techniques Used in Data Science:
- Explainable AI (XAI): Enhancing model transparency and interpretability, allowing users to understand and trust the decisions made by complex machine learning models.
- Automated Machine Learning (AutoML): Simplifying the process of building and tuning machine learning models, making advanced techniques more accessible to non-experts.
- Edge Computing: Performing data analysis on devices at the edge of the network, reducing latency and bandwidth usage for real-time applications.
- Synthetic Data Generation: Creating artificial datasets to supplement real data, addressing issues of data privacy and scarcity in training machine learning models.
- Natural Language Processing (NLP) Advances: Improving language models and applications, such as chatbots and sentiment analysis, through techniques like transformer architectures.
- Data Privacy and Security: Implementing advanced techniques to protect sensitive data and ensure compliance with regulations, such as differential privacy and secure multi-party computation.
Data Science:
Data science is a multidisciplinary field that combines statistical analysis, machine learning, and data visualization to extract insights and inform decision-making from complex datasets. It involves collecting, processing, and analyzing large volumes of data to uncover patterns, trends, and relationships. Data scientists use a variety of tools and techniques, including programming languages like Python and R, to build predictive models and perform in-depth analyses. The field spans numerous applications, from business intelligence and financial forecasting to healthcare and artificial intelligence. Data science also emphasizes the importance of communicating findings effectively through visualizations and reports, making data-driven insights accessible to stakeholders. As technology evolves, data science continues to play a crucial role in driving innovation and solving real-world problems across diverse industries.
Career Opportunities After Data Science Training
Data Scientist
Analyzes complex datasets to derive insights, build predictive models, and support data-driven decision-making across business functions.
Data Analyst
Interprets data, creates visualizations, and generates reports to support business decisions and identify trends and patterns.
Machine Learning Engineer
Designs and implements machine learning models and algorithms, deploying them to solve business problems.
Data Engineer
Develops and maintains data pipelines and infrastructure, ensuring data quality and availability for analysis and reporting.
Business Intelligence Analyst
Uses data visualization tools and techniques to create dashboards and reports, providing actionable insights to drive business strategy.
Data Science Consultant
Advises businesses on data science strategies, helping them leverage data to improve processes, make informed decisions.
Skill to Master
Statistical Analysis
Data Visualization
Machine Learning Algorithms
Data Cleaning and Preparation
Programming (Python, R)
Big Data Technologies (Hadoop, Spark)
Predictive Modeling
Data Warehousing
SQL and Database Management
Data Mining Techniques
Business Intelligence Tools
Advanced Analytics
Tools to Master
Python (Anaconda, Jupyter Notebook)
R
TensorFlow
Scikit-Learn
Apache Spark
Hadoop
SQL
Tableau
Power BI
Jupyter Lab
Dask
H2O.ai
Learn from certified professionals who are currently working.

Training by
Monisha , having 7+ yrs of experience
Specialized in: Machine Learning Algorithms, Predictive Analytics, Data Mining, Big Data Technologies, Deep Learning, and Natural Language Processing (NLP).
Note: Monisha is an expert in machine learning and data mining techniques. She has led numerous data science projects in various industries, from finance to healthcare. Her expertise in developing and implementing machine learning algorithms and deep learning models makes her a key asset for students aiming to excel in advanced data science techniques.
We are proud to have participated in more than 40,000 career transfers globally.

Data ScienceCertification

Pursuing a Data Science certification is advantageous as it validates your skills and knowledge in data analysis, machine learning, and statistical techniques, making you a more attractive candidate to employers. It provides a structured learning path and demonstrates your commitment to the field, which can lead to better job opportunities, higher earning potential, and career advancement. Additionally, it helps you stay updated with the latest tools and methodologies, enhancing your ability to tackle complex data challenges and contribute effectively to organizational data-driven decision-making.
Certification alone does not guarantee employment but significantly enhances your job prospects by demonstrating your expertise and commitment to the field. However, securing a job also depends on other factors such as your experience, networking, interview performance, and the overall job market conditions.
To prepare for the Data Science certification exam, focus on studying the core topics such as data analysis, machine learning, and statistical methods. Engage in hands-on practice through real-world projects or case studies to apply theoretical knowledge. Join study groups or forums for additional support and clarification. Consistent and comprehensive preparation will help you build confidence and improve your chances of passing the exam.
Practical experience is not always mandatory for obtaining a Data Science certification but is highly recommended. Hands-on experience with data analysis, machine learning, and real-world data projects can significantly enhance your understanding and application of concepts.
Investing in an ACTE Data Science Certification can be worthwhile as it provides high-quality training and preparation for certification exams. ACTE’s courses offer comprehensive coverage of data science topics, practical experience, and expert instruction. This investment can enhance your skills, improve job prospects, and potentially lead to higher earning potential and career growth. The certification can help you stand out in the competitive job market by demonstrating your expertise and commitment to the field.
Frequently Asked Questions
- Yes, you can access the course materials online, which typically includes lecture notes, reading materials, video tutorials, and additional resources. Online access allows for flexible learning, enabling you to review the content at your own pace and revisit materials as needed.
- The Data Science course at ACTE is offered through various modes including online live classes, self-paced online courses, and in-person training sessions. Each mode provides different levels of interaction and flexibility to accommodate different learning preferences and schedules.
- Access to Recorded Sessions You may be able to access recorded versions of the missed class.
- Make-Up Classes Some programs offer the opportunity to attend make-up classes or sessions.
- Course Material Review You can review course materials and resources provided online.
- Instructor Support Contact the instructor for any questions or clarifications regarding missed content.
- Peer Assistance Reach out to classmates for notes or insights from the missed class.
- If you have any more questions, you should contact the course coordinator or support team at ACTE. They can provide detailed information, address specific concerns, and assist with any additional queries related to the course.
- Visit the ACTE Website.
- Select the Course.
- Fill Out the Registration Form.
- Make Payment.
- Confirm Enrollment.
STILL GOT QUERIES?
Get a Live FREE Demo
- Flexibility: Online, weekends & more.
- Hands-on: Projects & practical exercises.
- Placement support: Resume & interview help.
- Lifelong learning: Valuable & adaptable skills.
- Full curriculum: Foundational & advanced concepts.
- Courses+
- Java Training+
- Microsoft Training+
- Cloud Computing Training+
- Database Developer Training+
- Designing & Animation Training+
- Oracle Training+
- Oracle DBA
- Oracle Developer
- Oracle Apps Finance
- Oracle Apps SCM
- Oracle Apps HRM
- Oracle Apps DBA
- Oracle Apps Technical
- Oracle PeopleSoft Finance
- Oracle PeopleSoft HCM
- Oracle SQL and PLSQL
- Oracle Admin
- Oracle RAC
- Oracle GoldenGate
- Oracle Performance Tuning
- Oracle DataGuard
- Oracle Fusion HCM
- Oracle Fusion Financial
- Oracle SOA
- Oracle Cloud
- Oracle Identity Manager
- Oracle Forms and Reports
- Oracle APEX
- Oracle 12 Certification
- DBA Training+
- IBM Training+
- Server Maintenance Training+
- Digital Marketing & SEO Training+
- Mobile Application Training+
- BI & Data Warehousing Training+
- Data Science & AI Training+
- Robotic Process Automation (RPA) Training+
- Electronic Design Training+
- Networking & Cyber Security Training+
- Software Testing Training+
- SAP Training+
- Languages Training+
- Softskills & Placement Training+
- Web Designing & Development Training+
- Other Training+
- Java Training
- Master Programs+
- Freshers Masters Program & Placement
- Data Science Master Program
- Cloud Computing Master Program
- DevOps Master Program
- Big Data Master Program
- Software Testing Master Program
- Java Master Program
- Web Design & PHP Master Program
- Python Master Program
- Full Stack Master Program
- Business Intelligence Master Program
- All Location+
- Company+
- Students Zone+
- Jobs+
- Courses+
- Java Training+
- Microsoft Training+
- Cloud Computing Training+
- Database Developer Training+
- Designing & Animation Training+
- Oracle Training+
- Oracle DBA
- Oracle Developer
- Oracle Apps Finance
- Oracle Apps SCM
- Oracle Apps HRM
- Oracle Apps DBA
- Oracle Apps Technical
- Oracle PeopleSoft Finance
- Oracle PeopleSoft HCM
- Oracle SQL and PLSQL
- Oracle Admin
- Oracle RAC
- Oracle GoldenGate
- Oracle Performance Tuning
- Oracle DataGuard
- Oracle Fusion HCM
- Oracle Fusion Financial
- Oracle SOA
- Oracle Cloud
- Oracle Identity Manager
- Oracle Forms and Reports
- Oracle APEX
- Oracle 12 Certification
- DBA Training+
- IBM Training+
- Server Maintenance Training+
- Digital Marketing & SEO Training+
- Mobile Application Training+
- BI & Data Warehousing Training+
- Data Science & AI Training+
- Robotic Process Automation (RPA) Training+
- Electronic Design Training+
- Networking & Cyber Security Training+
- Software Testing Training+
- SAP Training+
- Languages Training+
- Softskills & Placement Training+
- Web Designing & Development Training+
- Other Training+
- Java Training
- Master Programs+
- Freshers Masters Program & Placement
- Data Science Master Program
- Cloud Computing Master Program
- DevOps Master Program
- Big Data Master Program
- Software Testing Master Program
- Java Master Program
- Web Design & PHP Master Program
- Python Master Program
- Full Stack Master Program
- Business Intelligence Master Program
- All Location+
- Company+
- Students Zone+
- Jobs+
Get Training Quote for Free
Browse by Loation
Connect With Course Advisor
Talk to a Career Expert
Schedule 1:1 free counselling
Transform Your Ambitions into Achievements.
- We Offer Practical Classes.
- 100% Placement Support Is Provided to Students.
- Trainers Have 9+ Years of Experience.
- Global Recognization Certification Provided.