Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, structured and unstructured, similar to data mining. We are Data Science SMEs. We provide Data Science solutions & Training to streamline the business information to predict and achieve the best outcomes.
This course focus to develop Smart Data Science professionals that can understand the Data from its inception and able them to perform Predictive and statistical analysis. This course provide deep understanding of Data Discovery, Data analysis, Data interpretation, Data modelling ,Business Intelligence, Machine Learning and Predictive analysis using the wide range of Tools, Technologies and Methodologies.
Our Business Intelligence and Data Warehousing and Training offerings enlighten the students to understand BI technology initiatives with Data Science strategies and vision. This course does not require any Technical background and can be useful for those who want to switch to the data science field.
New batch commencing soon..
Course Detail
BI AND CLOUD SERVICES
- 1. Intoduction to BI
- 2. The Problem
- 3. Challenges
- 4. BI as Services
- 5. DW as Services
- 6. Infrastructure as Services
- 7. BI vendors
DATA MODELING
- 1. Introduction to Kimball and Imom
- 2. The Basics of Data Modeling
- 3. Facts and dimensions
- 4. Tabular Modal
- 5. KPI’s
- 6. Summary
SQL SERVER AND BI TOOLS
- 1. Introduction to SQL BI tools
- 2. SQL Management Studio
- 3. SQL server
- 4. Visual studio database Project
- 5. SQL Server Integration Services
- 6. SQL Server Analysis Services
- 7. SQL Server Reporting Services
- 8. Summary
TABLEAU
- 1. Introduction to Tableau
- 2. Connect (Data Source Page)
- 3. Tableau Workspace
- 4. Connect and Prepare Data
- 5. Design Views and Visualize Data
- 6. How to work with tidy data
- 7. Design Dashboards
- 8. Create Story
- 9. Publish Dashboard
DATA SCIENCE WITH R
- 1. Introduction to R
- 2. How to clean the data
- 3. Working with Data
- 4. Creating Descriptive statistics
- 5. Creating Data Visualization
- 6. Creating statistical Models
- 7. Predicting with Machine Learning
- 8. Deploying to Production
- BI and Cloud services
- Data Modeling
- Introduction to SQL
- Introduction to ETL using SSIS
- Business Intelligence tools like SSIS, SSAS, SSRS
- Data visualization through Power BI or Tableau
- Machine Learning with Python or R-Programming