Data Analytics Course with R, Excel & Tableau

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.

Course Description

Invest Now 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.... Read More »

Invest Now 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!

 

About the Course

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.

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

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.

 

Course Features

Growing Field
  • Data analytics services are expected to generate a revenue of $187 billion by 2019.
Well-Paying Jobs
  • Data Analysts earn around Rs 481,586 per year on average.
Demand for R
  • It’s the highest-paid IT skill and 36% of analytics job postings have R as a mandatory skill requisite.

 

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.

 

 

 

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Course Details:

Target Audience

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.

Prerequisites

Basic knowledge of math and statistics.
Certificate Info:

Type of Certification

You will get an internationally recognized certificate if you successfully complete the course.

Format of Certification

Digital

Method of Obtaining Certification

Certificates are awarded upon successful completion of the course.

Course Outline

  • 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.
  • 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
  • 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
  • ANOVA
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.
  • 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.
  • 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.
  • 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
Time series forecasting helps analysts to make business forecasts based on historical data patterns. This aids in shaping future business goals and predicting market behavior.
  • 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.
  • 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.
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.

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