Course Overview
This course provides an in-depth understanding of Data Science & Big Data Analytics, covering its concepts, methodologies, and tools. It introduces the data analytics lifecycle, statistical techniques, machine learning methods, and essential technologies like Hadoop and SQL for processing big data. Through practical applications and real-world examples, learners will gain the expertise to analyze, visualize, and interpret large datasets effectively.
What you’ll learn
→ The fundamentals of Big Data Analytics and its role in modern businesses.
→ The Data Analytics Lifecycle and its phases.
→ Using R programming for statistical analysis, regression, and classification.
→ Clustering and association rule mining for market and trend analysis.
→ Regression and classification techniques for predictive modeling.
→Time series analysis for forecasting trends.
→ Text analytics and sentiment analysis using TF-IDF.
→ Big Data tools like Hadoop, MapReduce, and NoSQL databases.
→ SQL-based analytics for querying large datasets.
Requirements
- Basic understanding of statistics and mathematics.
- Familiarity with programming concepts (preferably Python or R).
- Basic knowledge of databases and SQL is beneficial but not mandatory.
- Enthusiasm for working with large datasets and solving analytical problems.
Features
- Hands-on experience with real-world datasets.
- Step-by-step guidance on using R and SQL for analytics.
- Practical projects for regression, classification, clustering, and text analytics.
- Introduction to Big Data technologies like Hadoop and NoSQL.
- Case studies on data-driven decision-making.
- Access to downloadable resources and practice datasets.
Target audiences
- Data Analysts & Scientists looking to enhance their Big Data skills.
- IT professionals seeking a transition into data analytics.
- Business analysts interested in using data for decision-making.
- Students & researchers looking for a structured approach to Big Data Analytics.
- Entrepreneurs & startup founders who want to leverage data for business growth.
