Training | Objectives
Data analytics is one of the most popular skills required to be successful in business life. We are providing trainings for executives and professionals, so that they will understand and improve data analytics knowledge and skills.
Data Analytics for Executives
Data Analytics for Professionals
– Statistics & Modelling
– Python Programming
After these trainings you will gain an extensive understanding about the steps in data analytics, machine learning modelling, proper software to use and managing data analytics projects.
Training | Content
Training Program (Statistics & Modelling)
What is Data? Variables, Population, Sample..
Key Data Analysis with Summary Statistics and Visualization
Data Preprocessing, Cleaning and Filling Missing Data
Outlier Analysis
Correlation
Introduction to Machine Learning Modeling
Linear Regression
Logistic Regression
Nearest K-Neighbor Classification (KNN)
Decision Trees
Bagging and Random Forest
Boosting and Gradient Boosting
Support Vector Machines
Clustering
Time Series Modeling
Training Program (Python Programming)
Python and Jupyter Notebook Installation
Basic Python Language (Conditions, Loops, Functions)
Numpy Library and Data Operations
Pandas Library and Data Operations
Data Reading and Preprocessing
Data Visualization
Scikit-Learn Library and Introduction to Modeling
Linear Regression
Logistic Regression
Size Reduction Techniques
Bagging
Boosting
Support Vector Machines
K-Nearest Neighbor (KNN)
Time Series Modeling
Clustering Algorithms
Deep Learning
Example of End-to-End Data Analysis and Modeling
Duration
10 days (4 days for Statistics and Modelling & 6 days for Python Programming)