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Business Analytics is the art of gaining new insights and improving strategic decision-making by using existing data, statistical methods, and technologies.
We will equip you with knowledge so that you can make data-driven decisions to ensure your companies' success.
Get to know in detail about all the key concepts and techniques used to design and learn from basic to advanced topics.
Background, Need & importance
introduction & installation
Writing first program
i/o in python
Indentation & scopes
if, else & elif blocks
introduction to loops
For & While loops
Break & Continue statements
Introduction to functions
Positional & keyword arguments
Try, catch & finally block
Architecture of Linear Regression
Best fit line & prediction
Regression v/s Classification
Logistic Regression's architecture
Binary v/s Multiclass data
Hyperplanes & Support Vectors
Architecture of SVM Classifiers
K-Nearest Neighbors classifiers
Tree based models
Bagging & Boosting
Concept of Ensemble models
• Random Forest Classifier
Need of unsupervised learning
Mean shift clustering
K-means v/s Mean Shift clustering
Industrial use cases of unsupervised learning
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Frequently Asked Questions
The skills and the strategies needed for Data Analytics and Business Analytics are different.
The techniques used in Data Analytics are Statistical methods, Use of R and SAS languages, Data mining and visualization for reporting, Database design, Machine learning techniques, Analytic problem solving and Creative thinking
The techniques used in Business Analytics are Statistical Methods, Forecasting, Programming skills, Data mining and visualization, Business intelligence and reporting, Use of query software, Predictive Modeling, Creative Thinking, and Effective Communication, Analytic problem solving, Statistical analysis, and Software understanding.
Business Analytics is regarded as one of the highest paying jobs in the Data Science World.
This field has attained new heights due to the technological boom, and it is estimated that the job opportunities will get double fold in the coming decade.
But due to technology surpassing the skills of professionals, thousands of job roles go unfilled.
We want to skill, upskill and reskill people in Business Analytics and arm them adequately to enter the technological revolution.
You can apply through our website, or you can contact us.
We will connect you with our experts, and they will guide you through the application process.
We believe that having practical knowledge in any subject is a must.
We strongly recommend practical learning to instill knowledge in our learners.
Thus we provide projects that are to complete during this course.