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Introduction to the course - Data Science (R Programming)

Wed, 15 Apr 11:30AM - 1:00PM + more dates
SIRPI at Indiranagar
Rs 300
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 'Data Science with R Programming'

To know more, and for clarifications Introductory Session (40 min).

Its time to get real with learning Data Science - get started on the path of becoming a professional. This is an active, engaging, real-time, in-person, hands-on experience (online and virtual training would be an option enabled during lockdown)

Registration open (6 seats remaining) | Course schedule: next batch dates to be announced (Mon- Fri, 6hrs each day, except holidays) | Location: Indiranagar | 

  • Interactive Classroom learning (25 hrs) | Active support for Practice (30 hrs) | work on Demo & Live Projects (30 hrs)
  • Senior Faculty with Industry Experienced (#1 Fortune ranked company)
  • Learning Material provided | We help configure software on your laptops for free |
  • Individual Attention & Support | Small Batch < 10 sizes | Learn coding and all steps to go-live | immersive experience
  • Receive a Graded Certificate | Internship upon successful course completion
  • Prerequisite: Any Graduate (prior coding experience not required)
  • Batches can be scheduled at various locations across Bangalore, India.

Course fee: enquire with us. The payment amount made towards the introductory session will be offset from fees. | Full-time under-graduate students may request for concession
Do ask us about our Friend Referral incentives & Group Registration Offers |

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Indicative Session plan (modules shall be adapted to the participant learning level and to specific domains of interest)

Session 1: Introduction to Data Science and Visualization

  • Data science and decision making
  • R Studio fundamentals
  • Make your own 1-variable plots, 2-variable plots, and 3-variable plots
  • Introduction to tidyverse

Session 2: Analysis Fundamentals and the Grammar of Graphics

  • Exploratory data analysis and data transformations
  • Types of plots and choosing the best plot for your data
  • Themes and plot customizations

Session 3: Data Management and Forensic Analysis

  • Grouping and summarise data
  • Visualizing statistical summaries from raw data
  • Time series analysis and outlier detection strategies
  • Case study

Session 4: Data Tidying and Wrangling

  • Joining data from multiple sources
  • Visualizing raw data and handling missing values
  • Data tidying
  • Case study

Session 5: Functional Analytics and Automation

  • Write your own functional modules
  • Automate your plotting routines
  • Case study

Session 6: Advanced Data Visualization Tools

  • Extracting data APIs
  • Building Network graphs
  • Building interactive plots and animations

Session 7: DIY Dashboards

  • Interactive Dashboard Development
  • Taking Dashboards Online
  • Geographical Data Mapping

Session 8: Reporting and Machine Learning Fundamentals

  • Reproducible research using Rmarkdown
  • Introduction to Machine Learning
  • Introduction to Operations Research

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SIRPI at Indiranagar Indiranagar, Bangalore
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