Big Data Guide

- Data Visualization
- Programming languages
- Microsoft Excel
- Microsoft Access
- SharePoint
- SQL
- Data Warehousing
- Analytical Skills
- Big Data Tools
- Computational frameworks
- Some knowledge of Public Cloud and Hybrid Clouds
- Problem Solving
- Quantitative Aptitude and Statistics
And more

- Creating and translating computer algorithms into prototype code
- Developing technical processes to improve data accessibility
- Designing reports, dashboards, and tools for end-users
- Recruit survey participants
- Compile and interpret submitted data
- Relay findings in traditional charts and reports as well as digital formats
- Organize and maintain data in relational databases and corporate repositories
- Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
- Developing data architecture strategies for each subject area of the enterprise data model
- Maintain data pipeline
- Customize and oversee integration tools, warehouses, databases, and analytical systems
- Configure and provide availability for data-access tools used by all data scientists
And more

- IBM Data Science Professional Certificate
- Microsoft Certified Azure Data Scientist Associate
- Microsoft Certified Data Analyst Associate
- Microsoft’s MCSE: Data Management and Analytics
- Open Certified Data Scientist
- SAS Certified Advanced Analytics Professional Using SAS 9
- SAS Certified Data Scientist
- MICROSOFT - DATA ARCHITECT