This Data Analytics Bootcamp is an intensive learning program designed to equip learners with the skills and knowledge required to kick start a career in data analytics. This bootcamp typically covers a wide range of topics including data analysis techniques, data mining, predictive analytics, machine learning algorithms, data visualization, and data management. The course is delivered through a combination of sessions, hands-on exercises, and live projects to help learners gain real-world experience. By the end of the course, learners will have developed a strong foundation in data analytics and be able to apply their learnings in a variety of industries such as healthcare, finance, retail, and more.
PYTHON FOR DATA ANALYSIS
This comprehensive course will be your guide to learn Python from scratch, and even will be introducing you to various mostly used libraries into Machine Learning & Data Science.
STATISTICS FOR DATA ANALYTICS
In this module, we are going to learn about different statistical concepts which are not important for Data Analytics and also from an interview point of view.
SQL FOR DATA ANALYTICS
This course will turn you into a SQL query wizard. You'll learn the skills you need to extract critical insight from data sitting in a database. After completing the course and all of it's assignments, I promise you, you'll never be afraid to look at a large SQL query again.
EXCEL FOR DATA ANALYTICS
Having a deep practical knowledge of Excel will greatly increase your productivity. You will be seen as a very skilled business data analyst in the organization. And will lead to a much greater opportunities for you.
In this course you will learn why Power BI offers you a comprehensive set of Business Intelligence tools for your data analysis goals and how to use these tools to fulfill all of the above tasks - and more.
This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease. To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and time series.
In this course, you will learn about some of the most popular predictive modelling techniques and their underlying principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data.
ETL AND DATAWAREHOUSE FOR DATA ANALYTICS
For a Data Analyst it is important to know and understand some basics of Data Warehouse, Data Lake and ETL process to know where and how the data comes to your hand. This course will help you understand them clearly.
To put your learnings and analytics skills into action you’ll have the opportunity to complete few capstone projects for a month, which will help prepare you for the data analytics job hunt. Case studies are commonly used by employers to assess analytical skills.
Good place to learn new technologies. Vivek and Atin are very professional. They looked at my profile and asked about my career aspirations.After a discussion, Vivek suggested me their DevOps tools program.They didn't try to oversell, thats what i liked about them. After course completion ,they made me work on a live project, helped me to prepare my resume and applying for jobs. I highly recommend Pragra.
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