Data Science ProfessionalFebruary 25, 2022 2022-03-01 6:10
Data Science Professional
There is a rising need for qualified data scientists in the private sector, academia, and government. It provides you with the essential knowledge basis and valuable abilities to take on real-world data analysis issues through the Learn N Lead Data Science curriculum. Learn about probability, regression, and machine learning with this program that teaches you how to work with dplyr to manipulate data, use ggplot2 for data visualizations, use Unix/Linux for file organization, and use GitHub and Git for version control and RStudio for creating reproducible documents. In each course, we utilize inspiring case studies, ask particular questions, and learn by answering these questions using data analysis and other methods of teaching. Election Forecasting, building a Baseball Team (influenced by Moneyball), and Movie Recommendation Systems are examples of case studies. The R software environment will be used throughout the session. R, statistical principles, and data analysis procedures will all be taught at the same time to you. Learning how to tackle a specific problem can help you retain more R information, according to us.
Faculty and mentors• Hand-picked mentors from all over the world to shape to fit the job you are aiming to cop. • The faculty members will back the aspirant to make it to their goal. • They will render all the industry-centric insights to the aspirant to prepare them for what coming their way
Hands on ToolGoogle data studio Tableau Seaborn Matplot Pandas NumPy Python
Audience ProfileFresher graduates in bachelor or master’s degree Managers Marketing managers Banking and finance professional Business analysts Analytical managers IT professional
Scope of the course
On completion and taking up a job you will be highly qualified for higher paid jobs. glass doors state that $116,100 per year is what a data scientist makes.
PrerequisiteBasic knowledge of statistics. understanding of programming language
Apply by filling a simple online application form.
Admissions committee will review and shortlist..
Shortlisted candidates need to appear for an online aptitude test
Screening call with Alumni/ Faculty.