LIVE TRAINING + 100% PLACEMENT ASSISTANCE PROGRAM ABOUT THE COURSE This comprehensive data analytics course is designed to provide students with a foundation in the key concepts and tools used in data analysis. The course is ideal for students who want to learn the latest techniques and technologies for working with data and applying statistical analysis to real world problems. Throughout the course, students will learn how to use Python and SQL to perform data manipulation and analysis, how to use Excel to perform statistical analysis, and how to use popular tools such as Tableau and Power BI to visualize and present data insights. The course is divided into five modules, each focusing on a different aspect of data analytics: Module 1: Python Fundamentals Module 2: SQL Fundamentals Module 3: Excel for Data Analysis Module 4: Data Visualization with Tableau and Power BI Module 5: Statistics for Data Analytics Each module includes mix of all live sessions to reinforce key concepts and skills, interactive exercises along with live doubt clearing sessions. Additionally, each module includes live projects and assessments to give students hands on experience with real-world data analysis problems. Upon completion of the course, students will have a solid understanding of the core concepts and tools used in data analytics and will be equipped with the skills and knowledge needed to work on complex data analysis projects. WHY DATA ANALYTICS? Data analytics refers to the process of examining, transforming, and interpreting data to uncover meaningful patterns, trends, and insights. It involves using various analytical techniques, tools, and algorithms to extract valuable information from datasets. Data analytics focuses on understanding past and current data to gain insights that can drive decision-making and improve business performance. It involves several stages, including data collection, data cleaning and preprocessing, exploratory data analysis, statistical modeling, data visualization, and interpretation of results. Data analytics is employed in various fields and industries, such as finance, marketing, healthcare, and manufacturing. It helps organizations identify patterns, trends, and anomalies, optimize processes, improve efficiency, enhance customer experience, and gain a competitive edge. Overall, data analytics empowers organizations to make data-driven decisions, optimize performance, understand customers, predict outcomes, gain a competitive edge, manage risks, and drive innovation. By leveraging data effectively, organizations can unlock valuable insights and achieve their goals more efficiently and effectively.