Thursday, September 5, 2024

Big Data Analyzing with Microsoft R

 

Big Data Analyzing with Microsoft R: 4-Day Intensive Training

Overview

Unlock the power of Big Data with our comprehensive 4-day training course on Big Data Analyzing with Microsoft R, organized by Purnama Academy. This training is designed for professionals seeking to enhance their data analysis skills using Microsoft R, a powerful tool for handling and interpreting large datasets.

Our training is delivered by certified trainers who bring extensive expertise in data science and R programming. The course offers a blend of theory and hands-on practice to ensure participants gain practical skills and knowledge applicable to real-world scenarios.

Training Details

  • Duration: 4 Days
  • Time: 09:00 AM - 04:00 PM (Each Day)
  • Methods:
    • Public Offline Training
    • Inhouse Training
    • Online via Zoom
  • Contact: For more information and registration, please contact our sales team via WhatsApp at 0838-0838-0001.

Course Syllabus

Day 1: Introduction to Big Data and Microsoft R

  • Morning Session:
    • Overview of Big Data Concepts
    • Introduction to Microsoft R
    • Installation and Setup
    • Basics of R Programming
  • Afternoon Session:
    • Data Types and Structures in R
    • Data Import and Export
    • Basic Data Manipulation Techniques
    • Hands-on Exercise: Importing and Cleaning Data

Day 2: Data Visualization with Microsoft R

  • Morning Session:
    • Principles of Data Visualization
    • Using ggplot2 for Advanced Visualization
    • Customizing Graphs and Plots
  • Afternoon Session:
    • Visualizing Big Data: Techniques and Tools
    • Creating Interactive Dashboards with Shiny
    • Hands-on Exercise: Creating and Customizing Visualizations

Day 3: Data Analysis and Statistical Methods

  • Morning Session:
    • Exploratory Data Analysis (EDA)
    • Statistical Methods for Big Data
    • Hypothesis Testing and Regression Analysis
  • Afternoon Session:
    • Time Series Analysis
    • Advanced Statistical Techniques
    • Hands-on Exercise: Performing Data Analysis and Statistical Testing

Day 4: Big Data Projects and Case Studies

  • Morning Session:
    • Building Predictive Models with R
    • Machine Learning Techniques and Applications
    • Case Studies and Real-world Applications
  • Afternoon Session:
    • Integrating R with Big Data Platforms (e.g., Hadoop, Spark)
    • Final Project: Analyzing a Big Data Set
    • Course Review and Q&A

Registration and Contact

To register for the training or for more information, please reach out to our sales team via WhatsApp at 0838-0838-0001. Whether you prefer attending in person or joining online, we offer flexible options to meet your needs.


Feel free to adjust any details or add specific information based on your requirements.

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