Analytics Training & Courses


Finding synergetic combinations of technical and business skill sets is challenging for IT and corporate firms. Transvision Software and Data solutions Pvt Ltd professional analytics training courses with hands-on training helps to bridge gaps and train professionals and make them employable for best careers in Business Intelligence & Business Analytics Industry as Business Analyst , Data Scientist, Strategic Analyst, System Analyst or Insight Analyst. Transvision provides online instructor led training on Business Analytics and Advanced Analytics to individual and corporate. Business analytics training, provided in Transvision online analytics courses covers A- Z of Data Scientist starting from core statistical concepts to high end analysis for business applications. Transvision provides training on ANALYTICS Base and Advanced Analytics in addition to various tools for Data Reporting / Data Visualization / Data Analysis like SPSS, SAS, R tool, COGNOS tool, QLIKVIEW and SQL.

Training programs on Business/Advanced Analytics is launched to impart technology skill-based education on Business Intelligence and Business Analytics. These courses on analytics are designed to bridge technology skill-gaps in businesses operations. Comprehensive analytics programs in retail analytics, financial analytics, fraud analytics, advanced analytics are aimed at delivering skill-equipped professionals by fine tuning analytical skills.

The Business Analytics training program courses has been designed by professional industry experts and statistics educators who have practical knowledge on implementing analytic solutions to various business problems across industry domains - Retail, Finance, Clinical, Government, and Web based etc. Practical scenarios are developed as part of course curriculum.

To boost Career Analysts training Programs comprehensively cover topics on Analytics turning into Intelligence, starting with descriptive statistics and then moving on to advanced topics like multivariate techniques, multiple regression, logistic regression, time series analysis, hypothesis testing, factor analysis, cluster analysis, predictive analysis, customer segmentation, market basket analysis, web analysis, data discovery, data visualization, reporting, dashboards and other business needs from field-level executives to C-level professionals. The sessions are equally balanced between theory and practical hands on IT tools mentioned. Instructor led online sessions are interactive, live presentations, business examples , open discussions, along with practical sessions on virtual lab are engaged largely with case studies and hands on practice exercises.

Training prepares professionals learn Business Statistics and Analytical Skills supplemented with Software Tools of analytics. Program objectives orient professionals to learn problem-solving in business contexts, identify, explore and analyze problems and find solutions that can be implemented. These courses give freshers understanding of analytics and applications. This knowledge acquired at Transvision can then be applied across domains and functions.

Program highlights

Analytics Program in Brief

Data Visualization / Reporting/Analytical Tools

  • Industry Practitioner as faculty
  • SPSS
  • Clear understanding of Analytics
  • Introduction to Data
  • SAS
  • Explanations of Analysis phases
  • Exploratory data Analysis (EDA)
  • R
  • Case based approach
  • Descriptive Statistics of the variables
  • SQL
  • Hands on practice
  • Introduction to Probability and Theoretical Distributions
  • Real world application scenario
  • Introduction to Sampling and Sampling Distribution
  • Live interaction with faculty
  • Problem of Estimation and Testing of Hypothesis
  • Open discussion forum with peers
  • t-Tests , Chi square Tests and Analysis of Variance
  • Learn at your own time and pace
  • Correlation and Linear Regression
  • 24*7 Access Teaching/Learning Material
  • Placement assistance
  • Analytics Base
  • Logistic & Multiple Regression
  • Segmentation techniques: Cluster Analysis
  • Factor Analysis
  • Introduction to Time Series Analysis
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    Eligibility: BBA, MBA, Engineers, Doctors, Managers, Senior level professionals, Analysts, Pharmacist, BCA, MCA, any Graduates/ Post Graduates with background in Mathematics/Statistics/Economics/Quantitative Techniques.

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