Data Science Certification in Chennai
If you are looking for a top-notch Data Science Course in Chennai, Jeevi Academy is your ideal destination. Our faculty has crafted a comprehensive curriculum that aligns with the latest industry standards. Tailored to meet the aspirations of students, freshers, and working professionals, our Data Science Course in Chennai includes practical training with real-world datasets and advanced analytical tools to enhance your learning and performance.
4.7 (253 user ratings)
★★★★★ 4.7/5
- 3,253 Learners
- Last updated 9/2024
- Verified Training Partner
Authorized Training
Partner of CertiProf
Flexible Training
Options
This course includes:
- 120 Hours Class
- Offline / Online
- LIVE Project
- Certification
- Placement Support
Become a Certified Data Scientist & Launch Your Own Data Solutions Company
Jeevi Academy’s comprehensive Interactive Data Science course in Chennai is designed to transform you into a data science expert, preparing you to excel as a Data Scientist or to build your own data solutions company. You’ll master key aspects like data visualization, statistical analysis, machine learning, and predictive modeling, and gain hands-on experience with leading data science tools and platforms. Recognized as one of the best Data Science courses in Chennai, our program incorporates cutting-edge data technologies and strategies, equipping you with the skills needed in this dynamic field. Join us today and lead your own innovative data-driven enterprise!
We are Accredited Offering a Certified Data Science Course in Chennai
Exploring the benefits of data science can significantly enhance your business insights and decision-making processes, and enrolling at Jeevi Academy, an accredited data science institute in Chennai, is a great start. Jeevi Academy equips you with the latest data science technologies and teaches effective techniques for data visualization, statistical analysis, machine learning, and predictive modeling. Earning a global certification from our academy ensures you can optimize data-driven strategies and drive substantial business improvements, preparing you well to tackle the dynamic challenges of today’s data science landscape.
Data Science Course in Chennai at Jeevi Academy
- Introduction to Data Science: Emphasize the importance of data science in today’s decision-making landscape.
- Strategic Data Science and Operations: Understand the objectives of data science through the integration of analytics strategies, data management, and operational efficiencies.
- Trend Analysis: Learn about emerging data science trends, expand your knowledge of machine learning algorithms, data tools, and techniques, and prepare for careers in data science.
- Strategic Elements: Highlight key components of data science strategy and best practices, including data visualization, statistical analysis, and predictive modeling.
- Tool Mastery: Master data science tools and platforms, including data visualization software, statistical analysis tools, machine learning frameworks, and data management systems.
- Holistic Understanding: Gain a comprehensive understanding of data science platforms, data cleaning techniques, and essential data science skills.
- Plan Implementation: Learn how to implement data science strategies, including data collection, preprocessing, analysis, model building, and reporting.
- Fundamentals: Focus on core concepts of data science, including data types, data processing, exploratory data analysis, and essential analytical methods.
- Certification Preparation: Prepare for a successful career with data science training from a certified data science institute in Chennai.
Enquire Now
+91 999 405 12 12
Take Your Career to the Next Level
We Offer Three Types of Training Options in Our Data Science Course in Chennai
Choose from our three tailored training options for our Data Science Course in Chennai, each designed to suit different learning styles and goals. Whether you’re starting your journey in data science or looking to refine your skills, we provide the ideal learning environment to enhance your expertise and achieve your career objectives.
Offline Training
- Hands-On Experience
- Personal Interaction
- Startup and Freelancing Guidance
- Live Client Pitching
- Mock Interview Training
- Resume Building
Online Training
- Interactive Webinars
- Virtual Networking Events
- Online Freelancing Workshops
- Simulated Live Client Pitching
- Online Mock Interviews
- Digital Resume Workshops
Corporate Training
- Face-to-Face In-Person Training
- Customized Training Programs
- Interactive Workshops
- Expert Guidance
- Digital Collaboration Tools
- Networking Opportunities
Upcoming Batches
Offline Class Batches
Online Class Batches
Data Science Course Career Outcomes
What our learners have achieved?
A quick summary of the placement support received by this program's alumni
- Advanced Skill Development
- Career Advancement
- Entrepreneurial Success
- Industry Recognition
- Global Networking
Our Learners Placed in Top Companies
Objectives of Jeevi Academy's Comprehensive Data Science Course
Career-Oriented Training: Provide a data science course with placement support to ensure job readiness.
Specialized Courses: Offer a dedicated data science course along with other leading technology programs.
Certification and Recognition: Receive certification in data science from a top institute specializing in analytics and data science.
Skill Development: Develop skills in data visualization, statistical analysis, machine learning, and data management.
Practical Experience: Engage in real-time projects, freelancing opportunities, and internships to apply your data science knowledge.
Support and Flexibility: Ensure affordable course fees, flexible training schedules, and comprehensive career advancement support.
Data Science Course Syllabus
- Overview of Data Science and its importance
- Key concepts: Data, Information, Insights
- Role of Data Science in business and industry
- Data Science lifecycle: Data Collection, Cleaning, Analysis, Modeling, and Deployment
- Methods of data collection: Surveys, Web Scraping, APIs
- Data types: Structured, Unstructured, Semi-Structured
- Data sources: Databases, Data Warehouses, Big Data Platforms, IoT Devices
- Data ethics and privacy: GDPR, CCPA
- Data cleaning techniques: Handling missing values, Removing duplicates, Outlier detection
- Data transformation: Normalization, Standardization, Encoding
- Data integration and merging: Combining datasets
- Data enrichment: Enhancing datasets with additional information
- Summary statistics: Mean, Median, Mode, Variance, Standard Deviation
- Data visualization: Histograms, Box plots, Scatter plots
- Data profiling and quality assessment
- Identifying patterns and trends in data
- Probability distributions: Normal, Binomial, Poisson
- Hypothesis testing: T-tests, Chi-Square tests, ANOVA
- Correlation and causation
- Statistical inference and confidence intervals
- Principles of effective visualization: Clarity, Accuracy, Aesthetics
- Tools and libraries: Matplotlib, Seaborn, Plotly, Tableau, Power BI
- Creating and interpreting visualizations: Bar charts, Line charts, Heatmaps, Dashboards
- Interactive visualizations and storytelling with data
- Overview of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
- Supervised Learning: Regression (Linear, Polynomial), Classification (Decision Trees, Random Forests, Support Vector Machines)
- Unsupervised Learning: Clustering (K-Means, DBSCAN), Dimensionality Reduction (PCA, t-SNE)
- Model evaluation: Cross-validation, ROC-AUC, Confusion Matrix
- Ensemble methods: Bagging, Boosting, Stacking
- Neural Networks and Deep Learning: Basics of Neural Networks, CNNs, RNNs
- Natural Language Processing (NLP): Text mining, Sentiment Analysis, Topic Modeling
- Time Series Analysis and Forecasting: ARIMA, Exponential Smoothing
- Programming languages: Python, R
- Data management systems: SQL, NoSQL databases (MongoDB, Cassandra)
- Big Data technologies: Hadoop, Spark, Hive
- Cloud-based services: AWS (S3, Redshift), Google Cloud (BigQuery), Azure (Azure Synapse Analytics)
- Project scoping and planning
- Data acquisition, cleaning, and exploration
- Model development and evaluation
- Reporting and visualization of findings
- Case studies: Industry-specific applications (Healthcare, Finance, Marketing, etc.)
- Project management methodologies: Agile, Scrum
- Tools for project management and collaboration: JIRA, Trello, Asana
- Documentation and presentation of results
- Working with stakeholders and clients
- Building a data science portfolio: Projects, Case studies, GitHub repository
- Resume building and job search strategies
- Interview preparation: Common questions, Technical assessments, Behavioral interviews
- Networking and professional growth in the data science field
- Integration of AI and machine learning in data science
- Real-time data processing and analytics
- Advances in data visualization and interactive dashboards
- Ethical considerations and responsible AI
- Data Warehousing: Concepts, Architecture, ETL processes
- Data Lakes: Structure, Benefits, and Challenges
- Data Governance: Policies, Procedures, and Compliance
- Data Quality Management: Techniques and Tools
- Big Data Ecosystem Overview: Hadoop, Spark, Flink
- Distributed Data Processing: MapReduce, Spark RDDs
- Real-Time Data Processing: Apache Kafka, Apache Storm
- Big Data Storage Solutions: HDFS, Amazon S3
- Hyperparameter Tuning: Grid Search, Random Search
- Advanced Neural Networks: GANs (Generative Adversarial Networks), Autoencoders
- Model Deployment: Docker, Kubernetes, Flask
- Transfer Learning and Fine-Tuning
- Business Intelligence: Concepts and Tools
- Data-Driven Decision Making: Techniques and Strategies
- A/B Testing and Experimental Design: Setting up and Analyzing Experiments
- Customer Segmentation and Personalization
- Introduction to Geospatial Data: Types and Formats
- Geographic Information Systems (GIS): Tools and Applications
- Spatial Data Visualization: Maps, Heatmaps
- Analyzing Geospatial Data with Python and R
- Ethical Implications of Data Science: Privacy, Bias, Fairness
- Responsible AI Practices: Transparency, Accountability
- Data Ethics: Consent, Ownership, and Governance
- Case Studies of Ethical and Unethical AI Use
- Industry-Specific Data Science Applications: Healthcare, Finance, Retail, Manufacturing
- Challenges and Opportunities in Different Sectors
- Collaborating with Domain Experts and Stakeholders
- Real-World Case Studies and Industry Insights
- Bayesian Statistics: Concepts and Applications
- Multivariate Statistics: MANOVA, Factor Analysis
- Survival Analysis: Techniques and Use Cases
- Advanced Regression Techniques: Ridge, Lasso, Elastic Net
- AI and Data Science: Intersection and Integration
- AI Technologies: Natural Language Understanding, Computer Vision
- Implementing AI Models: TensorFlow, PyTorch
- AI in Data Science Workflows
- IoT Data Characteristics: Volume, Variety, Velocity
- Analyzing IoT Data: Sensor Data, Streaming Data
- IoT Analytics Tools and Platforms
- Use Cases: Smart Cities, Industrial IoT
- Interactive Dashboards: Tools and Techniques (e.g., Plotly Dash, Tableau)
- Data Storytelling: Techniques for Effective Communication
- Visualizing High-Dimensional Data
- Creating Custom Visualizations with D3.js
- End-to-End Data Science Projects: From Data Collection to Deployment
- Team-Based Projects: Collaboration and Problem-Solving
- Industry Partnerships: Working with Real Data and Clients
- Presentations and Reports: Communicating Findings Effectively
- Integrated Development Environments (IDEs): Jupyter Notebooks, RStudio
- Version Control: Git and GitHub
- Cloud-Based Data Science Platforms: Google Colab, Azure Notebooks
- Automation and Workflow Management: Apache Airflow, Luigi
Get a detailed overview of our comprehensive Data Science Course. This syllabus covers a broad range of topics in data science, starting from the fundamentals and progressing to advanced techniques and technologies. Download the PDF now to begin your journey towards mastering data science.
Call Us
+91 999 405 12 12
Enquiry
Data Science Certification in Chennai
CertiProf Authorized Training Partner
CertiProf is an organization that develops and certifies the knowledge and skills of professionals according to international standards and best practices across various industries, providing accreditation, certification, and examination. Its mission is to collaborate with partners in delivering certification services.
Jeevi Academy is proud to be an Authorized Training Partner of CertiProf. This partnership allows us to offer a range of certifications from CertiProf’s portfolio, providing our students with the tools and resources to enhance their professional skills and competencies, and succeed in the competitive labor market.
CertiProf Accreditations and Affiliations
Why Learn Data Science at Jeevi Academy in Chennai?
- Comprehensive curriculum covering all key aspects of data science.
- Experienced industry professionals as trainers.
- Emphasis on hands-on learning with live projects.
- Regularly updated content reflecting latest trends and tools.
- Robust placement assistance connecting you with top companies.
Students Reviews
I have recently completed my internship in Cloud Computing at Jeevi Academy.....I really had a wonderful experience and got to know a lot of stuff. I have successfully completed my internship project on Cloud Computing.It was really a worthwhile experience.Thank you
I came here for my 1 month ui/ux internship. And I learnt so much about ui/ux , my trainer sandhiya gave me hands on training session.
I have recently completed my internship in Data Analysis at Jeevi Academy.....I really had a wonderful experience and got to know a lot of stuff. I have successfully completed my internship project on Data Analysis with the guidance of Mr. Anitus sir......He was very friendly, very approachable and has been a mentor through out this Internship.It was really a worthwhile experience.Thank you
My internship at Jeevi Soft was quite interesting. Basically, my internship is all about "data analysis" where I have to search and analyze my topic deeply. This research made me learn, "What is the exact meaning of research?". I got to know about many things during my analysis, which was very helpful for me in gaining knowledge. Since this was an independent project, I myself got to know how good I was. Even though I got help from Sir, it was full of my contributions. Also I got to know "what an internship is and how to do it" with the help of Anitus Sir's guidance. Thank you so much sir. Thank you Jeevi Soft for this opportunity.
I recently finished a Linux course at Jeevi Academy in Chennai and it was an exceptional experience. The instructors were experts, the course was thorough, and the practical approach greatly enhanced my understanding. The support team at Jeevi Academy was always available to assist. I highly recommend this Linux course at Jeevi Academy for anyone looking to improve their Linux skills. Truly a worthwhile investment of time and resources!
FAQ for Jeevi Academy's Data Science Course
What is a Data Science course?
A Data Science course is an educational program designed to teach students the principles, techniques, and tools used in data science. It typically covers topics such as statistics, machine learning, data visualization, programming languages (like Python or R), and data manipulation.
Who should take a Data Science course?
Individuals interested in pursuing a career in data analysis, machine learning, artificial intelligence, or any field that requires data-driven decision-making should consider taking a Data Science course. This includes professionals from various backgrounds such as IT, business analytics, finance, and research.
What prerequisites are needed for a Data Science course?
While specific prerequisites may vary by institution, generally it is beneficial to have a basic understanding of mathematics (especially statistics) and programming. Familiarity with tools like Excel can also be helpful.
What skills will I learn in a Data Science course?
Students will learn various skills including statistical analysis, data cleaning and preprocessing, machine learning algorithms, data visualization techniques, and how to use programming languages like Python or R for data analysis.
How long does it take to complete a Data Science course?
The duration of a Data Science course can vary widely depending on the format (online vs. in-person), the depth of content covered, and whether it is part-time or full-time. Typically, courses can range from a few weeks to several months.
Can I take a Data Science course online?
Absolutely! Many universities and online platforms offer comprehensive online courses in Data Science that provide flexibility for learners to study at their own pace. Online courses often include video lectures, interactive assignments, quizzes, and community forums for discussion.
Are there any certifications available after completing a Data Science course?
Yes, many institutions offer certifications upon completion of their Data Science courses which can enhance your resume and demonstrate your expertise to potential employers. Certifications may come from recognized platforms like Coursera or edX or directly from universities offering specialized programs.
hat career opportunities are available after completing a Data Science course?
Graduates can pursue various roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Statistician, Research Scientist, and more across multiple industries including technology companies (e.g., Google or Amazon), healthcare organizations (e.g., hospitals), finance firms (e.g., banks), marketing agencies, government agencies, and consulting firms.
What tools and technologies will I learn about in a Data Science course?
Students will typically be introduced to various tools used in the industry such as Jupyter Notebooks for coding in Python; libraries like Pandas for data manipulation; Scikit-learn for machine learning; TensorFlow or PyTorch for deep learning; Tableau or Power BI for data visualization; SQL databases for managing structured data; and cloud platforms like AWS or Google Cloud for deploying models.
Is prior experience necessary to succeed in a Data Science course?
While prior experience can be beneficial—especially in programming or statistics—it is not always necessary to succeed in these courses. Many programs are designed with beginners in mind and provide foundational knowledge before advancing into more complex topics.
What's Included in the Price
- Certification upon completion
- Ready-made templates for quick and easy implementation
- Practical experience with the latest premium tools
- Job placement assistance with career guidance and interview tips
- Strategic planning for your business growth
- Lifetime support to address all your doubts and queries
- Exclusive access to monthly workshops and webinars
I’m interested in this Program
Trending Courses
digital marketing course in chennai | data science course in chennai | data analytics course in chennai | artificial intelligence course in chennai | aws training in chennai | devops training in chennai | python training in chennai | java training in chennai | ccna course in chennai | pmp training in chennai | ui ux designing course in chennai | ethical hacking course in chennai | web designing course in chennai | hr courses in chennai | dot net training in chennai | angularjs training in chennai | reactjs training in chennai | machine learning course in chennai | placement training in chennai | gst training in chennai | soft skills training in chennai | linux training in chennai