Building Web Applications in R with Shiny Training Course

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

This instructor-led live training in India (online or onsite) is tailored for beginner-level data analysts who aim to utilize R programming for data manipulation, basic data analysis, and creating compelling visualizations to uncover insights.

By the conclusion of this training, participants will be able to:

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

This instructor-led, live training in India (online or onsite) targets beginner-level professionals who want to clean and analyze data, make statistical forecasts, and generate insightful visualizations using these tools.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Conduct statistical analysis and forecasting using R.
• Design professional dashboards and reports with Power BI.
• Effectively integrate and analyze data from various sources.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

By the end of this training, participants will be able to:

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.

This instructor-led live training in India (online or onsite) is designed for data scientists who wish to program using Python and R for KNIME.

By the end of this training, participants will be able to:

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

By the end of this training, participants will be able to:

• Effectively use Stata for data analysis and statistical modeling.
• Compare Stata’s functionalities with SPSS and R.
• Integrate Stata with R for seamless statistical computing.
• Develop and automate workflows using Stata and R.

This instructor-led live training, offered online or onsite, targets data analysts who wish to utilise Stata and R for big data analysis in statistical research.

Upon completing this training, participants will be capable of:

• Developing statistical models to predict key variables and events of interest.
• Producing descriptive visualizations, summary tables, frequency distributions, and additional analytical outputs.
• Managing and structuring large databases to prepare effectively for data analysis.

Upon completing this training, participants will be equipped with the following capabilities:

This instructor-led, live training in India (online or on-site) is targeted at data scientists who wish to programme in R for Tableau.

• Integrate Tableau analytics with R.
• Return values to Tableau using learning algorithms in R.
• Structure and visualize R functions within Tableau.
• Facilitate data-driven decision-making for business operations.

This instructor-led live training in India (online or onsite) targets data analysts and anyone interested in learning how to integrate and utilize Tableau, Python, R, and SQL for data visualization and analysis.

By the end of this course, participants will be able to:

• Perform data analysis using Python, R, and SQL.
• Derive insights through data visualization with Tableau.
• Make data-driven decisions to support business operations.