Data Science: Wrangling Training

Live Online & Classroom Enterprise Training

Learn to process and convert raw data into formats needed for analysis.

Looking for a private batch ?

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is Data Science: Wrangling Training about?

This course covers the basics of data visualisation and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualisation package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.

We'll also examine how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled carefully. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualisation particularly important.

The growing availability of informative datasets and software tools has increased reliance on data visualisations across many areas. Data visualisation provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws. This course will give you the skills to leverage data to reveal valuable insights and advance your career.

What are the objectives of Data Science: Wrangling Training ?

Importing data into R from different file formats
Web scraping
How to tidy data using the tidy verse to facilitate better analysis
String processing with regular expressions (regex)
Wrangling data using dplyr
How to work with dates and times as file formats
Text mining

Who is Data Science: Wrangling Training for?

Anyone interested in data science
Anyone interested in data analysis
Anyone interested in writing efficient R code
Anyone whose job, research or hobby is related to data cleaning or data visualising
Aspiring data scientists, statisticians, or data (business) analysts
Anyone who deals with data modelling and is usually struggling with data preparation/cleaning step
Students working with data

What are the prerequisites for Data Science: Wrangling Training?

None

Available Training Modes

Live Online Training

8 Hours

Self-Paced Training

8 Hours

Course Outline Expand All

Expand All

Module 1: Data Import

Module 2: Tidy Data

Module 3: String Processing

Module 4: Dates, Times, and Text Mining

Who is the instructor for this training?

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

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree