Business Analyst course Intermediate Level by PValue Solutions

Introduction to Analytics

Basic Statistical Analytical

Basic Business Analytics

Regression & Clustering

Forecasting

Business Analytics with R prgramming

Basic Mathematical Analysis

Basic Statistical Analysis

Regression and Clustering Analysis

Time Series Analysis

BA with SAS

BA with SPSS

BA Using Excel

Introduction to Statistics analytics and Data Science and its scope

Basics of statistical software(R, SAS, SPSS) and data analysis and data preparation

Basic business statistics

Different types of test in businessanalysis

Regression and clustering technics in analysis

Business forecasting with Time Series Modeling

Practical secession on statistical software

Data Visualization and evaluation

Data Science and Ethical Issues

Decision analytics

Descriptive analytics

Predictive analytics

Prescriptive analytics

Decision-support systems -from concept to deployment-

Predictive Analytics
• Session 2: Predicting outcomes I / lending analytics
• Session 3: Predicting outcomes II / recommendation analytics
• Session 4: Quality of predictions I / healthcare analytics
• Session 5: Quality of predictions II / financial analytics
• Session 6: Predictions and skill versus luck / sports analytics
Prescriptive Analytics
• Session 7: Testing / retail analytics
• Session 8: Simulating the future / pension analytics
• Session 9: Optimizing complex decisions / salesforce analytics
• Session 10: Optimizing with multiple objectives / portfolio analytics
Implementation
• Session 11: Decision-support systems -from concept to deployment- / supply chain analytics
• Session 12: Review