PG DIPLOMA / CERTIFICATE COURSE IN DATA SCIENCE WITH SAS
PG DIPLOMA / CERTIFICATE COURSE IN DATA SCIENCE WITH R
Are you looking for the best courses and colleges for data science and analytics in India? Here, we have all the solutions for your career in data science and analytics.
Data science and R is the most popular programming used by scientist to transfers data into knowledge. The course of data analytics is highly demanded in the professional field. Data Science program makes the student learn about master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees, Linear and Logistic regression, R Studio, Data Visualization, Regression models, Hadoop, Spark, PROC SQL, SAS Macros, Statistical process, tools and analytics, and many more. It consists of a 6-week real time project which comprises of all the key aspects from data extraction, cleaning, visualization to model building and tuning which helps to become a Data Scientist. Some institutes provide certificate courses in Data Science analysis. Duration of PG/Diploma course is 2 years whereas for certificate course it varies from 6 months to 1 year.
Some of the Universities offering PG/Diploma in Data Science course are-
- Taxila Business School, Jaipur
- International Institute of Information Technology, Bangalore
- ASM Institute of Business Management and Research, Pune
Universities offering a certificate course in Data Science-
- ICICI Direct Centre for Financial Learning, Delhi
- School of Business Management, Mumbai
- Crisil, Mumbai
DATA SCIENCE WITH R COURSE ELIGIBILITY
Candidate must have a minimum score of 60% in graduation in subjects (B.Tech/B.E/M.Tech/M.E/BCA/MCA/BSc or MSc in physics, mathematics, economics, and operational research. Some institutes take admission through entrance examination followed by interview round and GD.
Candidate must have good analytical, statistical and problem-solving skill with a decent understanding of coding. Other skills like data analysis, data visualization, data mining and decision making is also important.
DATA SCIENCE WITH R SYLLABUS
The course of data science and analytics is designed for professionals with limited data analytics experience to build their understanding from the basics to the advance. The program includes the following:
- Introduction to Data Management
- Statistics and EDA
- Predictive Analysis
- Introduction to Big Data and Analysis
- Domain Electives
- Machine learning
SCOPE OF FINANCIAL ANALYSIS COURSES
Students can learn about a programming language, the transformation of data into actionable right and clearing of data. It also provides knowledge in creation and interpretation of descriptive statistics, data visualizations, and statistical models, the process to handle Big Data, make predictions using machine learning algorithms and deploy R to production. This job has been marked one of the best 25 jobs but there is a scarcity of scientist for this job. To be a data scientist, one must have knowledge about the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data. Financial analytics, data analyst, marketing manager, market research analyst and specialist, research scientist are some of the job opportunities which a student can be through opting this course.
THE INDUSTRIES WHERE TOOL IS USED
Burtch Works,HR company, over 1000 quantitative professionals which language they preferred R . Here are some survey results:
R and Python, on the other hand, are used by Startups and mid-sized firms. Tech and Telecom companies require huge volumes of unstructured data to be analyzed, and hence data scientists use machine learning techniques for which R and Python are more suitable.
R is free software that can be downloaded by anyone any time .
To analyze data in R, you will use data mining libraries . you won’t code in native R language when analyzing data. The code you write in these libraries looks somewhat similar to the code you write in R. Hence, it is easier to learn R .
DATA SCIENCE CAPABILITIES
R is known for In-memory analytics and is mainly used when the data analysis tasks require a standalone server. R is an excellent tool for exploring data. Currently, R has more than 5000 community contributed packages in CRAN. The wide range of packages and modules available for statistics and data analysis makes it the most popular and powerful language in data science. Statistical models can be written in a few lines of code.
You can draw complicated graphs beautifully in R using packages like Ggplot2, lattice, rCharts, etc.
R has 125 active user groups worldwide, and the number of user group meetings has increased by a significant amount in the last year. Python has 1,657 user groups, its communities strictly focused on data is much less when compared to R.
R have huge online community support- mailing lists, user-contributed code and documentation.