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DATA SCIENCE CERTIFICATION
- Get Trained by Trainers from IIT, ISB & IIM
- 184+ Hours of Live Classroom or Online Sessions
- 3 Capstone Live Projects
- Free Life-Time eLearning Access
- Dedicated Program Coordinator
- Re-attend Module with No Extra Cost
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Certification Courses
Data science is a rewarding and highly competitive field to land a job as a data scientist. You have to be very persistent to be successful. However, the roadmap may not be straight forward for you. You cannot become a data scientist overnight. Extensive experience, a deep understanding of data science concepts, and formal learning are required to start a career as a data scientist. If you like charts, numbers and figures, data science will be the right career choice. This field has to do with numbers, with data and numbers. Data scientists and data science professionals should acquire a deep understanding of programming languages such as Python and R.
Data Science Course
If you’re interested in learning data science, there are several options available to you. Here are some steps you can take to get started with a data science course:
Determine your goals: Understand why you want to learn data science and what you hope to achieve with this knowledge. This will help you choose the right course and stay motivated throughout your learning journey.
Build a foundation in programming: Data science typically involves programming, so it’s essential to have a good understanding of a programming language like Python or R. If you’re new to programming, you can start with online tutorials or introductory courses to learn the basics.
Learn statistics and mathematics: Data science relies heavily on statistical analysis and mathematical concepts. Familiarize yourself with topics like probability, linear algebra, and calculus. There are many online resources, books, and courses available to help you learn these subjects.
Choose a data science course: There are numerous online platforms that offer data science courses. Look for courses that cover the fundamentals of data science, including data manipulation, visualization, machine learning, and statistical modeling. Make sure the course fits your skill level and provides practical exercises or projects.
By completing a data science course, learners will gain valuable skills that can be applied to a wide range of industries and applications. Additionally, many data science courses offer certifications upon completion, which can be valuable for career advancement and job opportunities in the field of data science.
Data Manipulation: You will learn techniques to collect, clean, and transform data. This includes handling missing values, dealing with outliers, and merging datasets.