Data Analysis Using R

About the Data Analysis  workshop

Data Analytics is a powerful tool for handling and interpreting large volumes of data. It helps professionals across various fields, such as business, healthcare, and science, make well-informed decisions. By dissecting big data, Data Analytics provides insights that are crucial for optimizing strategies, improving operations, and enhancing service delivery.

The surge of data in today’s digital age necessitates robust analytics to process and make sense of the information gathered. Every minute, massive amounts of data are generated from numerous sources, including social media, transaction records, and IoT devices. Analyzing such data helps in identifying trends, predicting market dynamics, and tailoring services to meet customer demands effectively.

One significant advantage of Data Analytics is its ability to challenge and refine existing theories and practices. With empirical data, longstanding assumptions can be reassessed, leading to more dynamic and accurate models and strategies. This aspect of Data Analytics not only helps in validating new theories but also in discarding outdated ones that no longer serve their purpose.

Big Data Analytics, a subset of analytics, specifically deals with exceptionally large datasets that cannot be processed effectively with traditional computing techniques. This process involves several stages: collecting data from various sources, organizing it into a coherent framework, and then analyzing it to extract meaningful patterns and insights. These insights can lead to innovative solutions and strategic adjustments in business models, health protocols, and scientific research.

Various tools have been developed to assist with Big Data Analytics. Among these tools, the R programming language stands out due to its flexibility and powerful suite of statistical features. R is particularly favored for its ability to manage large datasets, perform complex statistical analyses, and create high-quality visual representations of data.

During our workshop, participants will gain hands-on experience with the R language. Starting with data preparation, attendees will learn how to clean and structure data, an essential step before any meaningful analysis can be performed. We will cover how to compute various statistical measures that are crucial for understanding data distributions and relationships.

Furthermore, the workshop will delve into creating meaningful data visualizations. Visuals such as graphs, charts, and plots are indispensable for interpreting data trends and communicating findings effectively. Participants will also learn to create reusable R functions, which are vital for making the analysis process more efficient and less prone to errors.

Another focus of the workshop will be on predictive modeling. Using R, participants will create models that can forecast future trends based on historical data. This predictive capability is incredibly beneficial for planning and decision-making processes in any field.

By the end of the workshop, attendees will have a thorough understanding of how to leverage the R language for data analysis. They will be equipped with the skills needed to extract insights from large datasets and apply these insights to real-world problems. Whether it’s enhancing business operations, advancing scientific research, or improving healthcare outcomes, the skills learned here will be invaluable.

For individuals and institutions looking for specialized assistance in crafting their academic and professional pieces, ghostwriter österreich offers a comprehensive service that supports effective communication and document preparation, enhancing the overall impact of analytical findings and strategies.

Highlights of Data Analysis Using R

After completing the Data Analysis Workshop you should be able to understand

•  Implement a One Real Time Project
• Understand data analysis via EDA as a journey and a way to explore data
•  Explore data at multiple levels using appropriate visualizations.
•  Acquire statistical knowledge for summarizing data.
•  Demonstrate curiosity and skepticism when performing data analysis.

Workshop Duration: 2-Days (7-8 hours each day)

Workshop Certification

• Certificate of Participation from AppsFluxus’18  in Association With EDC IIT-Roorkee.
• Certificate of merit from AppsFluxus’18  in Association With EDC IIT-Roorkee.
• Certificate of Coordination from AppsFluxus’18  in Association With EDC IIT-Roorkee.
• College will get Center of Excellence form AppsFluxus’18  in Association With EDC IIT-Roorkee.

2-Days Data Analysis Projects Details

• Rstudio For the Practice
• Rpackage For the Practice

We will cover One Real time project (According Any One Real Time data Available)

• Patanjali product analysis,
• Snapdeal analysis,
• Book My show customer analysis
• JIO communication sentimental Analysis
• Indian Railways Customer Analysis

Who should go for this workshop?

Research scholars / Post graduate and undergraduate students, Faculty Members, Practitioners

What are the pre-requisites for this Course?

A background in statistics is helpful but not required

Familiarity with the following CS and Math topics will help students:

• Variable assignment
• Comparison and logical operators ( <, >, <=, >=, ==, &, | )
• If else statements
• Square roots, logarithms, and exponentials

Workshop Fee:

Rs.1250/- Per Participant Only (The fee includes training, certification, and Event registration and a Free Data Analysis tool Kit to each Participant)

In case of any queries | please feel free to contact
Finland Labs
Phone : +1 -850 583 8080
(M), (011) 65544708(O)
Email : info@finlandlabs.com

Click Here to Download Complete Proposal