Data Science is one of the most sought-after fields in today’s tech-driven world. Our comprehensive Data Science course is designed to equip you with the skills, tools, and knowledge required to excel in this dynamic and exciting domain.
Course highlights :-
Python Programming(Basic and Advanced).
Data manipulation with pandas & numpy and Data visualisation with Tableau.
Machine Learning with scikit, sklearn, scipy and statsmodels.
Web scraping and Time Series forecasting.
Text processing, NLP, Image processing with Neural Networks(ANN,RNN,CNN etc.).
Resume | Interview | Certification preparation for IABAC and IBM certification.
Syllabus :-
Introduction to Data Science
Programming for Data Science
R Programming
Data Wrangling and Preprocessing
Statistics and Probability
Data Visualization
Machine Learning Fundamentals
Advanced Machine Learning
Big Data and Cloud Computing
Tools and Technologies
Capstone Projects and Case Studies
Deployment and Model Optimization
Ethics in Data Science
Data Science Course Eligibility :-
For Undergraduate level
Students need to have completed their higher secondary education from a recognized board.
Students must meet the data science course eligibility to pursue data science courses at top universities.
Candidates must be from the science stream, with subjects such as mathematics, physics, and chemistry as their core subjects.
Students must be qualified to clear the relevant entrance exams to get admitted to the best college or university.
Aspirants must be above 17 years of age to pursue Data Science courses.
For Postgraduate level
Students must have completed postgraduation in science with relevant specializations or any equivalent degree from a recognized board or university.
Students must have completed postgraduation in science with relevant specializations or any equivalent degree from a recognized board or university.
Students should qualify in the relevant entrance exam and have scored 50 percent marks in the qualifying examination.
Students with prior qualifications, specialization, or experience in Mathematics / Statistics are preferred.
Students also need to qualify and perform well in the personal interview rounds that may take place depending upon different colleges and universities after the entrance exam.
Data Science Course Duration :-
Total Course Length: 6–8 months (depending on pace).
Data Science Course Benefits :-
A flight to a better career path
Qualifies you to occupy new positions
Certifies you with in-demand Big Data technologies
A ticket to get employed in the top Fortune companies
