Introduction to Data Analytics [ Data Analytics Classes in Pune](hhttps://www.sevenmentor.com/data-analytics-courses-in-pune.phpttps://) Overview of data analytics and its applications Data lifecycle and workflow 2. Data Cleaning and Collection Data sources and types (structured data vs. unstructured data) Data collection techniques (surveys, APIs, web scraping, etc.) Data cleaning methods: missing values, duplicates, outliers, and inconsistencies handling 3. Exploratory Data Analysis and Visualization Exploratory Data Analysis (EDA) Summary statistics and distribution analysis Data visualization methods and tools 4. Statistical Analysis Probability and statistical distributions Hypothesis testing and confidence intervals Correlation and regression analysis Inferential statistics 5. Tools and Technologies Excel for simple analysis SQL for querying databases Python or R for advanced analytics Introduction to Jupyter Notebooks or RStudio Supervised vs. [Data Analytics Course in Pune](htthttps://www.sevenmentor.com/data-analytics-courses-in-pune.phpps://) unsupervised learning Model evaluation metrics 7. Data Ethics and Governance Data privacy and security Ethical considerations in data usage Regulatory compliance (e.g., GDPR) 8. Capstone Project or Case Studies Real-world datasets End-to-end project using data cleaning, analysis, visualization, and reporting Presentation of findings