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SQL for Data Science with R Training

Live Online & Classroom Enterprise Training

Learn how to use SQL and R together to extract, analyze, and visualize data for data-driven decision-making in real-world data science applications.

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What is SQL for Data Science with R Training about?

The SQL for Data Science with R course introduces learners to the integration of SQL and R programming for effective data management, querying, and analysis. Participants will explore how to connect R to databases, execute SQL queries, and manipulate data for insights. This training bridges the gap between database management and statistical analysis, helping learners become proficient in handling large datasets and building data models. By combining SQL’s data extraction power with R’s analytical capabilities, this course lays the foundation for efficient data science workflows.

What are the objectives of SQL for Data Science with R Training ?

  • Write and optimize SQL queries for data extraction and manipulation.
  • Integrate SQL databases with R for seamless data analysis.
  • Use R packages to connect and query relational databases.
  • Perform exploratory data analysis (EDA) using SQL and R.
  • Apply SQL and R techniques in real-world data science projects.

Who is SQL for Data Science with R Training for?

  • Aspiring and entry-level Data Scientists.
  • Data Analysts and Business Analysts.
  • Database Administrators looking to expand into analytics.
  • R programmers interested in data manipulation and SQL integration.
  • Students and professionals pursuing data-driven roles.

What are the prerequisites for SQL for Data Science with R Training?

Prerequisites:

  • Basic understanding of R programming language.
  • Familiarity with fundamental SQL concepts (SELECT, JOIN, WHERE).
  • Knowledge of data analysis or statistics basics.
  • Experience with relational databases (optional but helpful).
  • Curiosity and willingness to apply analytics to real datasets.

Learning Path:

  • Introduction to SQL and R Integration
  • Connecting R to SQL Databases (using RMySQL, RSQLite, etc.)
  • Writing Advanced SQL Queries in R
  • Data Analysis and Visualization with R and SQL
  • Real-World Projects: Data Cleaning, Transformation, and Insights

Related Courses:

  • Data Analysis with R
  • SQL for Data Analysts
  • R Programming for Data Science
  • Advanced Data Visualization with ggplot2

Available Training Modes

Live Online Training

3 Days

Self-Paced Training

19 Hours

Course Outline Expand All

Expand All

  • SQL for Data Science
  • Introduction
  • Basic SQL Statements
  • Introduction
  • Intermediate SQL Commands
  • Introduction
  • Database Objects using R

Who is the instructor for this training?

The trainer for this SQL for Data Science with R Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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