DATA SCIENCE FOUNDATION COURSE

About Data Science with R Course

• Basic concepts of R Programming
• Stack, Merge and Strsplit
• Functions of R Calculator
• Assigning a value to variables and generating repeat and factor levels
• Performing sorting and analyze variance
• Creating charts, plots, and vectors
• ODBC Tables reading
• Database connectivity

• R language is one of the top languages that most of the companies are demanding.

• Learning Data Science with R opens new career opportunities for both beginners and professionals.

• It helps you achieve top programming jobs with the help of lab sessions, assignments and project work.

• Also, this training program helps you prepare for the R Certification exam.

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After successful completion of the course “Data Science with R”, you should have,

• Gained a better knowledge of the workflow of data science with R language
• Understood the key concepts of data science
• Gained hands-on knowledge of R language
• In-depth knowledge of data manipulation, data visualization, advanced analytics and data mining.
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• High demand for data scientists as a very less number of eligible candidates are available to be hired

• High salaries as per the demand for data scientists as supply is low

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• Software Engineers and Data Analysts

• SAS developers who aspire to learn the open-source technology

• Business Intelligence professionals

• Candidates who want to start a career in Data Science

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• We have 6 solid reasons to say that our DataMites is one of the best institutes for data science in Bangalore and can strongly recommend you to join with us:

  1. IABAC accredited

  2. Elite Faculty & Mentors

  3. Learning Approach

  4. 10+ industry projects

  5. 24*7 Cloud Lab for ONE year

• Data Science involves the extraction of meaningful insights from large datasets, both structured and unstructured. It revolves around uncovering hidden patterns and transforming data into valuable information.

• Data Science enables the extraction of value from data.
• It improves the customer experience.
• Acquiring Data Science skills leads to a multitude of job prospects.
• Data Science professionals have the potential for higher salaries.
• There is a diverse array of job titles available in the field of Data Science.
• Data Science empowers individuals to actively contribute to decision-making in organizations.

Data Science courses are open to individuals of all backgrounds, whether beginners or experienced professionals. Engineers, marketers, software developers, and IT workers can enroll in part-time or external programs. Traditional Data Science courses typically require a high school education as a prerequisite.

The fee for Data Science courses varies depending on the level of training desired. Generally, classroom training for Data Science ranges from 1000 USD to 3000 USD, regardless of the chosen training provider.

After completing Data Science Training, individuals have the opportunity to pursue diverse career paths, including positions such as Data Scientist, Machine Learning Engineer, Data Engineer, Machine Learning Scientist, Application Architect, Data Architect, Statistician, Data Analyst, Business Intelligence Analyst, and Marketing Analyst.

The duration of Data Science training varies depending on the subject level and syllabus designed for different branches within Data Science. It can range from 2 months to 1 year, providing comprehensive knowledge and skills.

While having a strong understanding of programming languages like Python, R, Excel, C++, Java, and SQL is preferred in the field of Data Science, beginners can start with the basics and gradually improve their programming skills.

With a willingness to learn and guidance from experienced faculty, Data Science, like any other field, can be relatively easy to grasp and establish a career in. However, the vastness of the field can sometimes overwhelm beginners, making the learning process challenging and occasionally frustrating.