PySpark with Python
Learn PySpark for big data processing: DataFrame operations, handling missing values, filtering, aggregations, MLlib basics, and Databricks integration. Includes linear regression implementation.
Statistical Methods
Comprehensive lectures on statistical methods covering probability, distributions, hypothesis testing, and regression, with practical examples and review problems.
Managerial Economics and Financial Analysis
Comprehensive guide to accounting, economics, and financial analysis, covering fundamental concepts, practical applications, and problem-solving techniques for beginners and professionals.
MEFA - BEFA for B.Tech Students
Comprehensive economics and accounting course covering business fundamentals, financial analysis, and capital budgeting for B.Tech students. Includes practical problems and solutions.
Learning Base R
Master fundamental R programming concepts, from basic calculations to advanced topics like simulation and statistics, through hands-on practice and comprehensive coverage of essential functions and data structures.
Applied Statistics
Comprehensive introduction to statistics covering descriptive and inferential methods, probability, distributions, hypothesis testing, and regression analysis with practical applications and examples.
Statistics
Comprehensive statistics course covering central tendencies, dispersion, correlation, regression, index numbers, and time series analysis with practical problem-solving approaches.
Foundation of Scientific Computing
Explore the fundamentals of scientific computing through a comprehensive series of lectures, covering essential concepts and techniques for computational problem-solving in scientific research.
MATLAB for Absolute Beginners
Comprehensive introduction to MATLAB, covering basic syntax, data analysis, signal processing, image manipulation, and probability concepts with practical exercises and real-world applications.
Biology
Explore diverse biological topics from genome annotation to animal sentience with expert insights on evolution, neuroscience, genetics, and more. Gain a comprehensive understanding of cutting-edge research in various fields of biology.
Genetics
Explore genetics through expert lectures on topics like genome annotation, behavioral genetics, and the interplay between genes and environment. Gain insights into cutting-edge research and applications.
Data Analytics Tutorial for Managers
Learn essential data analysis techniques and tools to make informed business decisions and gain valuable insights from your organization's data.
Data Analytics Tutorials
Learn essential data analytics skills through tutorials on statistics, Tableau, and Excel, covering key concepts and practical applications for beginners.
NumPy Python Tutorials
Master NumPy fundamentals for efficient data manipulation and analysis in Python, enhancing your skills in scientific computing and data science.
Statistics Tutorials Using Python
Learn essential statistical concepts and data visualization techniques using Python, covering descriptive and inferential statistics, distributions, and probability.
Hadoop Tutorials
Learn Big Data and Hadoop essentials, including HDFS, MapReduce, YARN, Hive, and HBase. Explore career paths, architecture, and practical problem-solving in Hadoop ecosystems.
Big Data Use Cases - Music Data Analysis Using Hadoop
Explore music data analysis with Hadoop, covering post-analysis, lookup tables, data filtering, enrichment, and in-depth analysis techniques for big data applications.
Big Data Use Cases - Ecommerce Data Analysis Using Hadoop
Explore e-commerce data analysis using Hadoop, covering table creation, data validation, and rule checking for actionable insights in big data environments.
Big Data Use Cases - Bank Data Analysis Using Hadoop
Explore banking data analysis with Hadoop, covering data integration, table creation, content analysis, and archival in this comprehensive big data case study.
Hadoop Tutorials for Beginners
Comprehensive introduction to Big Data technologies, covering HDFS, MapReduce, Hive, Pig, Spark, NoSQL, HBase, Sqoop, Flume, and Kafka. Ideal for beginners seeking a solid foundation in Hadoop ecosystem.
Data Science for Beginners
Comprehensive introduction to data science covering key concepts, skills, tools, and career paths. Offers practical advice and project ideas for beginners to start their journey.