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Data Analytics Certification Course with R, Excel & Tableau

4.7 (500+ Ratings)

Acadgild’s Data Analytics Course will transform you into a skilled data analyst in just three months. It’s comprehensively designed to train you in all the essentials of the field and provide plenty of hands-on experience.

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60+ Hrs

Live Mentoring

200+ Hrs

Coding Assignments


Real World Projects

24 x 7 

Coding Support


Programming in r (6 hours)

  • Basics of R
  • Conditional and loops
  • R packages/libraries
  • Data mining GUI in R
  • Data structures in R
  • Exceptions/ debugging in R

Data analysts must know how to work with R which is not only the most popular programming language used for data analysis but also an indispensable IT skill.

data wrangling (6 hours)

  • Reading CSV, JSON, XML, .XLSX and HTML files using R
  • ETL operations in R
  • Sorting/ merging data in R
  • Cleaning data
  • Data management using dplyr in R

Once you have covered the nuances of R, you will learn the intricacies of working with data through wrangling and visualizing them

statistics and probability (6 hours)

  • Descriptive statistics, random variables, and probability distribution functions
  • Data distributions like uniform, binomial, exponential, poisson, etc
  • Probability concepts, set theory and hypothesis testing
  • Central limit theorem, t-test, chi-square, z-test
  • Central limit theorem

Any aspiring data analyst should have good grasp over statistics as it’s impossible to work with data otherwise. It’s crucial to know how to employ statistical analysis while collecting, organizing and analyzing data so that insightful interpretations can be derived.

modeling in r (10 hours)

  • Linear regression model in R
  • Multiple linear regressions model
  • Representation of regression results
  • Non-linear regression models
  • Tree-based regression models
  • Decision tree-based models
  • Rule-based systems

Regression models play an integral role in data-driven decision making for any analyst. This unit will emphasize on all about modeling in R.

mining algorithms using r (8 hours)

  • Association analysis
  • Market-based analysis/ rules
  • Apriori algorithm
  • Ensemble models - random forest model, boosting model
  • Segmentation analysis- types of segmentation, k-means clustering, Bayesian clustering. Feature selection/ dimension reduction- multidimensional scaling, dimension reduction, factor or
  • component analysis.
  • Axes
  • Covariance

Algorithms can determine interesting patterns from large datasets during data mining. Having a deep understanding of how these algorithms work and ways to use them effectively is necessary during data analysis.

data wrangling using sql and excel (10 hours)

  • SQL queries
  • Integrating with R
  • Deployment and execution
  • Data modeling and formatting using Excel
  • Excel formulas to perform analytics
  • Macros for job automation

Transforming data into actionable information using SQL and Excel will help extract information required to effectively transform data into actionable information.

data analysis and visualization using tableau (8 hours)

  • Introduction to Tableau and its layout
  • Connecting tableau to files and databases
  • Data filters in Tableau
  • Calculation and parameters
  • Tableau graphs and maps
  • Creating Tableau dashboard
  • Data blending
  • Creating superimposed graphs
  • Integrating Tableau with R

Simple visualization makes it easy to represent even the most complicated datasets. Tools like Tableau can aid in this process.

capstone project

The course culminates in an enterprise-level project for a fictitious client that will expose you to every stage of the data analytics process. Every student is guided by industry experts as they bring their personal projects to life. Alternately, students may choose to work on a live project from their organization. Our students generally come from varying backgrounds. We encourage all our students to pursue projects that are best suited for their careers and domains. The project is an opportunity for you to test your skills and demonstrate your ability to invent solutions for real world problems

Job Assistance

After completing your assignments and projects, we will provide you with one-on-one career guidance, conduct mock interviews and help you build a professional online portfolio to help you get noticed by top recruiters.

Resume Building

Learn what to put in your resume and how to get noticed on top job portals from industry experts.

Online Reputation Building

Establish your presence on all the right social networks like Git, Stack Overflow, LinkedIn, etc

Mock interviews

Get insider tips on how to ace interviews at top firms.

Landing A Job

Work at top MNCs and start-ups through by putting your best foot forward in our placement drives.

Why Invest In A Data Analytics Career

The field of data analysis is growing by leaps and bounds. Data management and analytics have become vital for the success of corporations and industries worldwide.

Even though some professions may not require extensive usage of analytics, there are still many that require this skill on a regular basis. This is the key reason why there are many Data analytics courses in India. Analytics courses are now available as live virtual classes and self-paced courses. Our 12-18 week long course has several advantages like 400 total coding hours and experienced industry mentors. This is the biggest advantage for understanding real world use cases and scenarios and applying theory in practice. Acadgild also ensures that real-time projects and case study discussions are facilitated to enhance learning. Icing on the cake is the lifetime access to our e-learning dashboard!


Huge Investment in Analytics

The spending on big data & analytics technology is expected to be $ 210 billion by 2020.

Wide Use of Big Data

Well Paying Jobs

Analytics jobs are right now some of the best paying jobs as per market survey

Data-Driven World

Demand For R

It’s the highest-paid IT skill and 36% of analytics job postings have R as a mandatory skill requisite.

One Simple Pricing

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Billed once

  • Live Online Sessions
  • Expert Mentors
  • Small batches
  • Tech Support Available
  • Interview Preparation

Here’s what people are saying about the course

You will emerge a highly skilled IT professional

Acadgild emphasizes active involvement of the students, and practical application of concepts learned in sessions. This course is worth the money and time. You will emerge a more confident, and highly skilled IT professional.

Project Manager (PMO-Delivery) at Deloitte

The support team at Acadgild was great

Learning at Acadgild was a good experience. They teach both theory and implementations of concepts. The support team at Acadgild was great. I had a great overall experience.

Senior Data Engineer at Brillio

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Frequently Asked Questions

How is the experience of doing Data Analytics With Excel, R, and Tableau Course at Acadgild?

Joining a data analyst course will greatly aid students to build interesting portfolios so that they land their dream jobs they. The data analyst course from Acadgild contains all the information and knowledge packaged in a holistic manner so that students can perform best in their careers.

Whether you are a seasoned professional, fresher or someone seeking to upskill themselves in new technologies, the data analyst course can help you learn more and do more with your career. The data analyst course is designed in such a way that the students get the best out of this course. For this, Acadgild has a coding support team to aid them in case they encounter any roadblock. Another plus is the free job assistance program where you would get a coach to groom and make you industry-ready. This network of professionals also helps students to be aware of employment opportunities. Enroll Now for the course Data Analytics with R, Excel, and Tableau.

What is this course about?

This course teaches techniques of data analysis and communication using Tableau, and Excel. It covers key concepts and provides practical experience via real-time projects to help develop skills that are relevant and useful for careers in data analytics.

Who should take this Data Analytics course?

The course is suited for anyone with a zeal to learn about data analytics. It is ideal for aspiring data analysts from non-technical backgrounds as it does not involve programming. Our students are generally managers and other business executives looking to learn how they can use data to garner business intelligence.

What are the pre-requisites for this course?

Basic knowledge of math and statistics.

Why should I take this Data Analytics course?

Acadgild provides quality training to anyone with the zeal to learn. We offer a great platform for you to master Data Analytics. Our courses have world class content, offer a gamified learning experience, and include real-time projects to help you gain practical exposure. Additionally, you will be mentored by leading experts in the industry and will have support around-the-clock from SMEs (Subject Matter Experts) to help resolve your queries.

What is the difference between Data Analytics course and Data Science course?

The data Analytics course explains techniques for data analysis and communication using technologies like R, Tableau, and Excel. Whereas the Data Science course focuses on processes like Data cleansing and processing, predictive modeling, statistical analysis, correlating incongruent data, visualization using Python programming language, and topic like machine learning and Deep Learning.

Will I develop my own project while taking this course?

Yes, you may. Our curriculum is comprehensive and will make you capable to create your own project. Our support staff is also committed to help you along the way. Alternately, you can work on one of the projects in our repertoire to implement what you learn.

Can I know more about the Job Placement Assistance program?

Our job placement program offers students one-on-one career counselling, and the chance to work with our corporate partners.
Candidates who fulfill the following criteria will be eligible for the program:
• Scored 75% marks or above (resulting in a Platinum certificate) in the course.
• Successfully completed at least 2 quality projects.
• Scored 80% in all the mock technical interviews.
• Was never found plagiarizing code.

*This feature is currently available only for students in India.

Case studies