Data Analytics Course


Data Analytics has been around for ages. However, with the new tools, methods and prominence of Data Science, it has come into the limelight. With the ever-increasing volume of data and interest among the organization to extract information, there has been increasing demand for Data Analytics. Learn all the required tools and techniques with no coding.

Online (Discount Price)

50,000 35000/*

(Inc 30% Discount)

  • Online Training Program

Offline (Discount Price)

57,500 40000/*

(Inc 30% Discount)

  • Classroom Training Program
  • 16 Weeks, 44 Sessions Program
  • 5 Projects
  • Hybrid Learning Model
  • Certification Program
  • Internship Included
  • Job Placement Assistance
  • Hackathon with Certification
  • Regular or Weekend Batches


Data Analytics is the most popular field in any organization. For that matter, no managerial decisions are possible without analysing the data and extracting information from it. With the ever increasing volume of data organizations are interested in the insights the data could offer to make business decisions on a daily basis. Data Analytics uses various Statistical Models, Visualization Techniques, Software Applications or Tools, and finally expertise of the professional to generate required business reports.

The best part of the Data Analytics course is that there is no coding involved. Considering the role and the operations involved we could say that even the professionals from non-technical educational backgrounds could learn Data Analytics. Hence it is widely recommended for those who would like to step into the world of Data Science to start with Data Analytics. Business Intelligence and Dashboarding are popular among the industries are in high demand. Sometimes, you do not need to build machine learning models to get the required information from the data, hence the popularity of Data Analytics.

Course image

Course Information

If you are thinking about a Data Analytics course you are ready to step into the world of Data Science. This course emphasises Statistical Modelling, various Applications or Tools, Visualization, Dashboarding and such. Students from any background could learn this course and become job-ready. They could solve the business problems using Data Analytics techniques to enable regular business decision processes. Post completion of the course you would be ready to work with an organization as part of their analytics team.


  • Easy to learn and Job-ready program
  • No coding involved
  • Hybrid Learning Model
  • Minimum Batch Size
  • Job Preparation with Profile building
  • Internships and projects
  • Scholarship Assessments

You Will

  • Learn Statistical Models, Visualization techniques, Various Tools and such.
  • Get Dashboard with Hybrid Learning – Watch Videos before Online or Offline classes
  • Complete analysis of data, cleaning, transforming, visualizing, and modelling
  • Build dashboards for real-time inputs related to the data for the business leaders Have a structured thinking, analyse business problems & visualize data to generate reports.
  • Learn to use various essential Data Analytics related tools and methods to be effective.
  • Work on real-times projects to solve business problems to build confidence.

Course Highlights

Essential Skill-Building

Skills are what we promise – Acquire essential skills right from the preparatory course to interview readiness. Our pedagogy encourages and prepares you for real-life situations. Find the right balance between knowledge and skills through practice.

Curriculam Impact

Data Analyst is a sought after profession. The curriculum support learners to be market-ready by learning the tools and techniques. Learners from various academic backgrounds could master this course as there is no coding involved. The Curriculum supports step-by-step transformation while building confidence to handle various business domain problems.

  • Descriptive & Inferential Statistics
  • Measures of Central Tendency & Dispersion
  • Data: Distributions
  • Quality Analysis & Variability
  • Probability & Distributions
  • Sampling Techniques, Estimation Types
  • Hypothesis Testing & Type I, Type II Errors
  • Correlation & Variance Analysis: Business Use Cases
  • Parametric & Non-Parametric Tests
  • Data Visualisation & Concepts
  • Types of Charts & Word Cloud
  • Visualising Data using Infographics
  • Evaluating an Analytics Report
  • Qualitative & Quantitative Techniques
  • Data Profiling & Management
  • Univariate, Bivariate, & Multivariate
  • Correlation & Co-Variance Matrices
  • Feature Engineering & Extraction
  • Inferential Statistics: t, f, z, ANOVA, Chi-Square
  • Data Importation
  • Functions & Formulas to Organize Data
  • Macros, Power Map & Power Pivot
  • Numerical Analysis - Statistical Functions
  • Data Analysis Tool pack, Pivot Tables
  • Overview of Business Intelligence
  • Business Intelligence Vs Business Analytics
  • Getting comfortable with MySQL
  • Power BI & Analytics Understanding visualization with Tableau
  • Decoding Business Requirement
  • Dashboarding – Data Story Telling
  • Formatting Various types of Reports

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Data Analyst professionals are currently in high demand due to the high dependency on data-centric decisions. This is the right time for anyone to step into the world of Data Analytics through this course. The demand is increasing one yearly basis. With right skills and knowhow, you could be a hot cake in the market. Organizations are looking for professionals with good data skills, visualization, and analysis to work in their teams. It give opportunity to grow within the organization and also to become a Data Scientist.


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We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.