Data Collection: Gathering data from multiple sources, such as databases, APIs, web scraping, and IoT devices.
Data Cleaning and Preprocessing: Learn processes for removing data inconsistencies, missing value corrections, and preparing the data for further analysis.
Data Analysis: Using statistical methods and visualization tools to understand patterns, trends, and relationships within the data.
Machine Learning: Building predictive models using supervised, unsupervised, or reinforcement learning techniques.
Data Visualization: Creating graphs, dashboards, and reports to present findings clearly and intuitively.
Big Data Technologies: Handling large datasets using tools like Hadoop, Spark, and cloud platforms.
https://www.sevenmentor.com/data-science-course-in-pune.php