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TOP 10 DATA SCIENCE COURSES IN INDIA

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Data Scientist and Business Analysts are currently the most in-demand professionals. A career in Data Science requires analytical, statistical and a set of unique soft skills. Data Science course will equip you with the skills and information to pursue a career in this field. |HENRY HARVIN EDUCATION| – PowerPoint PPT presentation

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Title: TOP 10 DATA SCIENCE COURSES IN INDIA


1
Top 10 Data Science Courses in India
  • HENRY HARVIN EDUCATION

2
Post Graduate Diploma in Business Analytics
(PGDBA)
  • PGDBA is 11 months to two-year full-time diploma
    course. The course is designed for those who have
    an analytical mindset, are interested in tackling
    exciting business challenges, and have an
    inclination towards numbers. The course is open
    for fresh graduates and experienced working
    professionals. Even Though the course is open for
    graduates, experts with minimum 2-10 years
    experience will be preferred to understand how
    managers use business analytics to solve problems
    and challenges in business. Major papers covered
    in the course includes Business Analytics, Data
    Mining and Predictive Analysis, Analytics with R,
    Business Analytics using SAS, SQL, Excel, and
    Python.

3
Post Graduate Diploma in Data Science
  • PGDDS is a job-ready course spread over 11 months
    to 2 years. Both graduates and professionals can
    apply for this course. The course is designed to
    provide broad understanding of the basic and
    advanced concepts of data science with hands-on
    training on Big Data techniques using Excel, R,
    SQL, NoSQL, Tableau, Hadoop, and Hive. It
    includes instructor led classroom session
    accompanied with assignments and case studies
    followed by a three-month internship. During the
    period students learn about exploratory Data
    Analysis, Machine Learning, Data Visualization,
    Artificial Intelligence and Big Data Technologies.

4
Master of Science in Data Science
  • A Master of Science in Data Science is an
    interdisciplinary program to provide scientific
    methods and process to extract knowledge from
    data. The eligibility requirement to the
    programme is a Bachelor degree in Science,
    Technology, Engineering or Mathematics (STEM)
    stream. Prior quantitative coursework is an added
    advantage for the process of admission. The
    advanced degree programme teaches concepts like
    Applied Statistics, Database System and Data
    Preparation and Practical Machine Learning. It
    also covers programming languages like Python,
    SQL and R.

5
Master of Science in Business Analytics
  • MS in Business Analytics help students to develop
    skills needed to transform large amount of data
    into actionable business strategy insights. The
    course is open for fresh graduates from IT,
    Engineering and Mathematics background and
    working professionals in IT, Analytics, Big Data,
    Machine Learning and Analytics. The course is apt
    for professionals looking for developing their
    skills in statistical analysis to support
    decision-making. The main topics covered are
    Programming, Data Analytics and Management and
    Data Models and Visualization. The course is
    recommended for students who are interested in
    building their career in intelligent strategies
    and technologies to support collection, analysis,
    presentation and distribution of business data in
    enterprises.

6
Masters in Information System
  • Masters in Information System equips you with
    new technologies and skills needed to manage
    information system, and evaluate technical
    approaches and risks. The topics covered in this
    course includes Information Systems Analysis and
    Design, Business Telecommunication and Managing
    Emerging Information Technology.

7
Post Graduate Program in Data Science and
Engineering
  • PG Data Science and Engineering course duration
    varies from 5 months to 11 months. The course is
    designed for fresh graduates looking to build a
    career in data science and analytics. They learn
    relevant data science techniques and tools for
    roles such as business analyst, data analyst and
    data engineer. They are also trained on
    programming languages like Python and SQL.

8
MTech Data Science and Artificial Intelligence
  • MTech Data Science and Artificial Intelligence is
    a 2-year full-time course designed to make
    professionals in the domain of Data Science and
    AI. The course is open for BTech / BE / MCA
    graduates and for graduates with PG Diploma in
    Data Science. Candidates gain practical knowledge
    in programming and statistical techniques for
    Data Science along with Data Scrapping and Data
    Wrangling. They also expertise in Cloud
    Computing, Machine Learning, Deep Learning,
    Advance AI and Big Data Technologies.

9
PGDM Big Data Analytics
  • PGDM Big Data Analytics is a two-year full-time
    course offered to students with flair for numbers
    and computers. The programme is designed to
    create future-ready data managers who are
    equipped to manage the new model of data-driven
    decision making. The main topics covered are
    business intelligence systems like machine
    learning, artificial intelligence, deep learning
    and data management including machine learning.

10
MBA Data Science and Data Analytics
  • MBA in Data Analytics is a two-year full-time
    course. Unlike most of the other Data Science
    Course, MBA Data Science is open for Arts and
    Commerce graduates as well. The eligibility
    criteria is a bachelors degree in any stream
    but, the students should be comfortable in
    subjects like Mathematics and Computer
    Programming. The course focuses on skills needed
    to handle data analytics life cycle and business
    problems through visualization. The main covered
    in this course are Information Security in
    Business, Predictive Analytics, Big Data, Cloud
    Computing, E Business and Data Visualization.

11
MBA in Business Analytics
  • MBA in Business Analytics is a two-year full-time
    multidisciplinary degree. It focusses on
    functional process of business such as operating
    day to day business and planning and executing it
    through market analysis. The course train
    candidates on how to study and interpret data and
    how to use this data in business operation.
  • Considering the hike in number of professionals
    taking Data Science Course, many online short
    courses has been introduced. These courses
    provide professionals an opportunity to undergo
    non-credit based courses to earn a certificate.
    Similar to the long-term courses, these courses
    offer sequential and progressive content. Main
    advantage of a short-term course is being able to
    work at individuals pace, with flexibility to
    complete coursework along with work schedule.

12
  • Some of the short-term online course include
    Artificial Intelligence, Machine Learning,
    Cybersecurity, Business Analytics, Data
    Analytics, Marketing Analytics, etc.
  • For more information https//www.henryharvin.co
    m/machine-learning-course-using-python
  • Contact 09015266266
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