I’m Interested in This Program

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  • This course includes
  • - 72 hours of live classroom
  • - 200 Hours of Industry Cases & Projects
  • - 24 X 7 Coding Support

999 (all inclusive)

Data Analytics Certification Course with R, Excel & Tableau

Course Overview


  • Intensive 12-Week Program
  • Collaborative Assignments with Mentors
  • Master Statistics, Machine Learning and Data Visualization
  • Learn Tools like R, Excel and Tableau

EFFORT 10-15 Hrs/Week
CAREERS Business Analyst, Data Analyst, Data Visualization Analyst, Data Manager, Statistician.


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Why You Should Take This Course

Data analytics never seems to get old. Every organization big or small requires its professionals to be well equipped with performing Data analytics with R, Excel and Tableau.


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!


High Paying

According to Indeed, data analysts earn around $ 70,000 per year on average.


Data Professionals Needed

The US is expected to create over 20,00,000 new jobs for data professionals by 2020.

Demand for R

36% of analytics job postings have R as a skill requisite.

Why You Should Take This Course

Acadgild Experience

Students can build portfolios which will help them land a job they prefer. The data analysis courses contain 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 skill themselves in new technologies, this course can help you learn more and do more with your career. The data analytics courses are designed to help students get the best out of their course. For this, Acadgild has a coding support team to aid students in case they encounter any roadblock. Another plus is the free job assistance program where you can get a coach to help you groom and be 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, Tableau

Course Prep

To bring you up to speed

Phase One

The First

Setting Up

Enroll for Course, Access Dashboard, Meet Mentor, Attend Orientation

Phase Two


Practice Drills

Live Sessions, Live Coding with Mentors, Case Studies & Assignments, Capstone Project

Phase Three


Career Preparation

Resume Building, Reputation Management, Mock Interviews, Networking

Certification International Certification

Corporate Partners

What You Will Learn in This Course

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

  • 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

  • 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

  • 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

  • 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

  • Basics of time series
  • Components of time series
  • Time series forecasting
  • Deploying predictive models
  • Using SQL server
  • Using external tools
  • Using big data tools
  • Integrating R with Hadoop/Spark

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

  • 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

You will receive the download link in your email.

Our Course in Comparison

Duration 12 Weeks 10-12 Weeks 4-6 Weeks
Live Training Hours 72 40 -
Total Coding Hours 200 100-120 40-50
Projects acadgild logo acadgild logo acadgild logo
Gamified Dashboard acadgild logo Rarely provided acadgild logo
Lifetime Access to Dashboard acadgild logo acadgild logo acadgild logo
24x7 Coding Support acadgild logo Rarely provided acadgild logo
Portfolio Development acadgild logo acadgild logo acadgild logo
Pricing 999 2000 - 5000 25 - 50


The course is suited for anyone with a zeal to learn about data analytics. It is ideal for aspiring data analysts from different backgrounds. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of data analytics.

There is a soaring demand for tech professionals who have Analytics skills in order to be able to explore, analyze, and interpret Big Data. The trend for jobs in Big Data analytics is on the upward swing, and there are more jobs created in this segment every year. Currently, there is a huge deficit in the number of skilled Big Data analysts globally. Since this is considered a highly skilled field, jobs are high paying. In the recent years, Big Data has been adapted across different fields and is only set to grow more creating more Big Data analytics career opportunities.

As more and more people come to rely on the internet for many basic functions, the quantity of data is only set to grow at exponential rates. As the field of Big Data Analytics continues to grow, there will be better tools to analyse the data. We are already seeing this development in the growth of Spark. It is also predicted that real-time analysis of data will become the norm allowing for decisions to be made in real-time. In the wake of recent EU decisions, security of Big Data will become of paramount importance. Since Big Data is a growing trend globally, the scope of big data analytics in India will be in line with the rest of the world.

You need knowledge of math and statistics. Knowledge of R programming language would be a plus. Having said that, the course covers the basics of R.

You will learn Data Analytics and Data Visualization tools. You will learn R, Tableau and Excel primarily, and bits of Hadoop, Spark, SQL and other big data technologies additionally.

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 you resolve your queries.

The course will make you proficient in:

  • Data Manipulation
  • Exploratory Data Analysis
  • Data Visualization
  • Linear Models
  • Data Analytics with Visualization using Tableau
You don't need to follow this course with another. This course covers most of the skills required to help you land a lucrative job as a data professional.

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.

All sessions are recorded and uploaded to the course dashboard for you to access at your convenience.

Our mentors are top-notch industry professionals with at least 5 years of experience. You will be taught by the best in all batches.

You can view a recorded demo session in the Course Overview section. Alternately, you can sign up for a live demo there.

Yes, we offer free resources like e-books, and blog articles on generic and technical topics by SMEs. You may view these in the free resources section - https://acadgild.com/blog/.

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.

You can pay after registering for the course. We accept most credit and debit cards. You can also pay via net banking. Our payment portal has an EMI option if you wish to pay in installments.

Our ‘Refer and Earn' program gives you a discount on the course fees when your references join us. You may refer students by writing to us at [email protected]
The details of the Refer and Earn policy can be found at https://acadgild.com/refer-and-earn.

To request a refund, write to us at [email protected] You may apply for a refund in the first three days after paying the fees. No requests will be entertained after this initial period. The terms and conditions of AcadGild's refund policy may be revised without prior notice. Please check websites for updates on this policy.

You can write to us at [email protected] with your contact details. Our representatives generally respond to requests within 24 hours.

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