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Henry Harvin® No.1 Data Science Course by India Today
Expand their proficiency in Data Science | Learn from top-tier curriculum that sets the standard in the field of data science | With special focus on Machine Learning techniques used for regression, classification and clustering.
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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®
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Access to 52+ Masterclass Sessions for essential soft skill development
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Free access to the E-learning Portal and future updates. Get access to PPTs, Projects, Quizzes, self-paced Video-based learning, a question bank, a library, practice tests, final assessment, a forum, and doubt sessions.
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Data science is an interdisciplinary field that uses methods and theories from mathematics, statistics, computer science, domain knowledge, and information science. The Master's (MS) in Data Science by College de Paris at Henry Harvin® has been designed to build a distinctive career in analytical and leadership roles in various sectors. With a perfect blend of machine learning, big data analytics, and statistics, the program helps to gain experience in solving problems with real-world data.
This course equips learners with all the conceptual and technical skills required for the ultimate position in the analytics industry. It introduces the learner to business analytics using the most in-demand analytics technologies like R and Python and teaches the implementation of various data science concepts such as data exploration, visualization, and hypothesis testing.
It is a versatile 10-in-1 program that includes various aspects of competency development and career development.
Become a part of the Elite Data Science & Analytics Academy of Henry Harvin® and join the 4,60,000+ large Alumni Network Worldwide.
Know the complete offerings of our Master's (MS) in Data Science by College De Paris
Know the complete offerings of our Master's (MS) in Data Science by College De Paris
By continuing you agree to Henry Harvin® Terms & conditions and Privacy Policy
Programming
Statistics
Natural Language Processing
Python
Data Visualization
Tableau
Power BI
Artificial Intelligence
Marketing
Know more about the value of this certificate in the industry
We are dedicated to supporting our students throughout their career journey. Join us, and let's embark on a journey towards a successful and fulfilling career together.
Exclusive access to our dedicated job portal and apply for jobs. More than 2100+ hiring partners’ including top start–ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
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Data Analyst
Big Data Engineer
Quantitative Analyst
Data Architect
Data Mining Engineer
AI Research Scientist
Data Science Consultant
Data Visualization Specialist
Data Product Manager
Business Intelligence Developer, Data Architect, Applications Architect, Infrastructure Architect, Enterprise Architect
Traditionally, data science roles do require coding skills, and most experienced data scientists working today still code. However, the data science landscape continues to change, and technologies now exist that allow people to complete entire data projects without typing code.
Although it is true that some IT professionals seek to advance their skills in analytics, this field is not only open to people with a background in programming and IT. Many successful Data Scientists began their Data Science careers without prior coding knowledge or IT experience.
Learning C/C++ offers excellent capabilities for building statistical and data tools. These will translate well to Python and scale well for performance-based applications. C/C++ is also surprisingly useful because it compiles data quickly. It builds highly functional tools and allows for serious fine-tuning.
As with any career, to become a data scientist, you'll need as much experience and practice as possible. Luckily, there are many ways that you can get involved with communities, work on projects, and develop your data science skills.
Data science is undoubtedly a safe career to work in. However, it still imposes some risks in the future, leaving aspiring data scientists worried about whether or not to pursue it. The risk of pursuing data science as a career is the development of easy-to-use tools.
The highest-paying companies for data scientists in India require Quantitative Analysts to possess various skill sets, such as. This is also one of the highest-paying jobs in data science. The average salary for a quantitative analyst is 12.0 lakhs per annum.
If you are interested in building intelligent systems, working on AI algorithms, and pushing the boundaries of technology, AI might be a better fit. If you enjoy analyzing and interpreting data to drive business decisions and solve real-world problems, data science may be the right choice.
Students should have a degree in one of the fields in science, technology, engineering, and mathematics (STEM background). So a data scientist eligibility in India is anyone who is from a STEM background, as it is one of the minimum requirements for data scientist that any newcomer should possess.
Data science course skills continue to be in huge demand across industries, and the need for data practitioners is booming at a fast pace. Upon completing this Data Science Certification program, you will be armed with the skills and experience you need to start your career in data science and machine learning.
The student has the option of either going through the recorded lecture or attend the same class with a different batch. In any case, we ensure that learning is not hampered. we are one of the leading data science course providers in India.
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