Data mastery NG -

Data Analytics Fundamentals and Intermediate Applications

This comprehensive course provides a thorough grounding in the fundamentals of data analytics while also introducing participants to Intermediate data science tools and techniques.

0 %

Instructor led

0 %

Certified

Course Brochure

COURSE HIGHLIGHTS

Data Analysis with Microsoft Excel & Power BI

Learn how to use these powerful tools to collect, clean, analyze, and visualize data.

Database Management with SQL

Develop a strong understanding of database concepts and learn how to use SQL to manage and query data.

Data Presentation with PowerPoint

Effectively communicate your data findings using compelling presentations.

Financial Mathematics

Gain a solid foundation in financial concepts and apply them to solve real-world business problems.

Personal Branding

Build a strong personal brand to enhance your career prospects

Business case projects.

These projects typically require trainees or professionals to apply their knowledge and skills to solve complex problems, make strategic decisions, or explore new opportunities.

LEARNING MODEL

Introduction to Data Analytics & Microsoft Excel.
Data cleaning with Microsoft Excel.
Pivot Tables and Pivot Charts with Microsoft Excel.
Building dashboards with Microsoft Excel.
Data Presentation with PowerPoint.
Introduction to Power BI.
Data Visualization with Power BI.
Introduction to SQL.
Database management with SQL.
Advanced SQL
Visual Basic Application (VBA Macros)
Data modeling using PowerBI
Introduction to Data Science
Advanced PowerBI dashboard interfacing
Power and Data Query
Data storage and manipulation of database management systems

Course Benefits

Issuance of certificates after successful course completion
Strategic insights into data analytics with Excel, Power BI, and SQL
Access to datasets and resources to aid practice.
Job referrals and recommendation letters.
Dataleum Alumni Membership.
Participation in data hackathons, seminars, and other events hosted by Dataleum
Mentorship.

Course Feature

Active engagement with enriched course content.
4-5 learning hours per day.
A maximum class size of 40 trainees for effective learning.
Virtual, Online learning, or Self-paced learning models
Skill level: Beginner.
Assessment: assignment, presentation, exam.
Pass mark: 75%
Certification: Yes.