Data Analytics Value Chain
What Data Science Includes
Data Storage and management
In order to be able to access data quickly and reliably during subsequent analysis
In order to get an informative, manageable data set
Exploratory Data Analysis
To generate hypotheses and intuition about the data
Prediction through modelling
Using statistical tools such as regression, classification, clustering, forecasting and optimization
Communication of Results
Through visualization, stories, and interpretable summaries.
Various Roles available in Data Science
- Build Data Driven Platforms
- Data Integration
- Operationlize Algorithms and Machine learning models
- Exploratory Data Analysis
- Performing various types of analytics
- Story telling
- Build Dashboards and other Data visualizations.
- Provide insight through visual means.
- Prove / disprove hypotheses.
- Information and Data gathering
- Data Cleaning
- Algorithm and ML models.
- Project management.
- Manage stakeholder expectations.
- Maintain a Vision
Data Science Journey with TQMI
TQMI has developed a unique program to develop competency in the field of data science for the organizations to utilise the power of Data Science technologies step by step
1-2 DaysData Science Overview
2-3 DaysPython Basics for Data Science
2-3 DaysExploratory Data Analysis (EDA)
2-3 DaysDescriptive Analytics
2-3 DaysMachine Learning (Supervised Learning)
4-5 DaysMachine Learning (Unsupervised Learning)
3-4 DaysText Mining
7-8 DaysDeep Learning & Artificial Intelligence