Complete Course on Data Science and Big Data Analytics

Objectives:
• Provide a comprehensive understanding of data science and big data analytics principles
• Equip participants with practical skills in data manipulation, analysis, and visualization
• Enable participants to apply machine learning algorithms and statistical methods to real-world data sets
Course Content:
• Data Science Fundamentals
• Introduction to data science, its significance, and applications across industries
• Programming Languages
• In-depth training on Python and R programming for data analysis and machine learning
• Statistics and Probability
• Fundamental concepts in statistics and probability for data analysis and insights derivation
• Data Analysis and Visualization
• Techniques for data manipulation, analysis, and visualization using tools like Pandas, NumPy, and Matplotlib
• Machine Learning
• Coverage of supervised and unsupervised learning, decision trees, clustering, regression models, and neural networks
• Big Data and Cloud Computing
• Understanding big data technologies, the Hadoop ecosystem, and cloud platforms for data processing and storage
• Natural Language Processing (NLP)
• Techniques and algorithms for processing and analyzing text data
• Data Mining
• Methods for extracting patterns and knowledge from large datasets
• Business Intelligence and Data Warehousing
• Concepts and tools for business intelligence, data warehousing design, and OLAP
• Data Engineering
• Introduction to data engineering concepts, ETL processes, data modeling, and warehousing
• Ethics and Data Privacy
• Understanding ethical considerations and privacy laws in data science
Who Can Attend:
• Individuals seeking to enhance their skills in data science and big data analytics
• Professionals interested in leveraging data for business intelligence and decision-making
• Students and graduates from STEM fields or related disciplines looking to specialize in data analytics and machine learning
Methodology
The training methodology integrates lectures, interactive discussions, collaborative group exercises, and illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical experience, emphasizing the application of learned techniques. This approach ensures that attendees return to their professional environments equipped with both the competence and self-assurance to effectively implement the acquired skills in their responsibilities
.

DATE:
1ST BATCH: 22nd – 25th Apr,2025
2ND BATCH: 4th – 7th Nov,2025