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.
- 4,182 Learners
- Last updated 11/2024
- 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.
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+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.
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+91 999 405 12 12
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Data Science Certification in Chennai
CertNexus Authorized Training Partner
CertNexus is a global organization dedicated to providing certifications that validate emerging technologies and data-driven skills. Their certifications align with industry standards and best practices, empowering professionals to excel in areas such as cybersecurity, data science, IoT, and artificial intelligence. CertNexus’s mission is to bridge the skills gap by collaborating with partners to deliver high-quality certification programs.
Jeevi Academy is proud to be an Authorized Training Partner of CertNexus. This partnership enables us to offer a variety of certifications from CertNexus’s portfolio, equipping our students with the essential tools and resources to enhance their technical expertise, advance their careers, and thrive in the ever-evolving tech landscape.
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.
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What's Included in the Price
- Flexible class training
- Live sessions, Online and Offline classes
- Hands on training
- Life time Recording & notes
- Daily task and week assessment
- 24/7 mentor’s support
- Instant referral bonus
- Presentation class
- Communication class
- Resume preparation
- Interview preparation
- Mock interviews
- 100% placement assistance
