Master the Art of Data Analysis and Launch Your Data Science Career
This comprehensive program equips you with the essential skills and knowledge to become a sought-after data science professional.
Through a blend of online modules, live virtual sessions, hands-on projects, and personalized mentorship, you'll gain expertise in data interpretation, machine learning, and powerful programming languages like Python.
By the end of this course, you'll be well-equipped to launch a rewarding career in data science.
Course Prerequisites: A basic understanding of mathematics and computer science concepts is recommended.
The Data Science short course provides participants with a comprehensive introduction to the fundamental concepts and practical techniques used in data science. Beginning with basic statistical concepts and data manipulation in Python, participants will progress to exploratory data analysis, data visualization, and feature engineering. The course covers essential machine learning algorithms, including regression, classification, and clustering techniques, as well as model evaluation and validation methods. Throughout the course, emphasis is placed on hands-on learning through practical exercises and real-world case studies, enabling participants to gain practical experience in applying data science techniques to solve business problems. By the end of the course, participants will have acquired the skills and knowledge necessary to pursue further study or careers in the field of data science.
Course Duration: 6 Months Certification Course (4 Months Live Sessions and 2 Months Internship)
Tools Covered: Python, Power BI, Excel, NumPy, Pandas, Scipy, Seaborn, MySQL, & more
Training Hours
Certificates
Free Internship
Students
Upon successful completion of this program, you'll be prepared to pursue various exciting careers in data science, including:
This program is ideal for enhancing your skills and becoming a valuable asset in the data science field. It caters to:
The objectives of the Data Science short course are to provide participants with a comprehensive introduction to the foundational principles and practical techniques used in data science. Throughout the course, participants will gain proficiency in Python programming for data analysis, explore essential data science libraries and tools, and learn how to conduct exploratory data analysis and feature engineering. Additionally, participants will be equipped with the knowledge and skills to apply machine learning algorithms for regression, classification, and clustering tasks, as well as understand model evaluation and validation methods. By the end of the course, participants will have the practical experience and theoretical understanding necessary to embark on further study or pursue careers in the field of data science.
This program culminates in a 2-month industry internship project. You'll gain practical experience by working alongside industry professionals on a real-world data science project.
This internship allows you to apply your newly acquired skills, build a strong portfolio, and enhance your resume, making you a more competitive candidate in the job market.