Data Analytics with Power Business Intelligence (Power BI)

22 Hours
All levels
12 lessons
0 quizzes
3 students

Training Background:

In today’s data-driven world, businesses face an overwhelming amount of information from various sources such as sales figures, customer data, employee information, financial transactions, manufacturing, inventory, etc. The challenge lies in transforming this data into actionable insights for improved business decisions. This is where Microsoft Power BI comes into play!

Power BI consolidates data in one platform, connecting to sources such as customer management systems and marketing tools. For instance, a retail company can analyze sales across product categories to identify seasonal trends, optimizing inventory and marketing strategies. Moreover, marketing teams evaluate campaign success by consolidating data from various channels, identifying which campaigns resonate most and enabling smarter budget allocation. In finance, Power BI allows teams to visualize key metrics like revenue and expenses, quickly spotting concerning trends that require action. Manufacturers benefit from real-time monitoring of production processes, identifying slowdowns to ensure smooth operations. HR departments analyze employee satisfaction and turnover rates, targeting areas for improvement. Inventory managers visualize sales trends alongside stock levels, optimizing product availability. Subscription services analyze usage patterns to tailor marketing efforts and enhance customer retention.

These examples showcase Power BI’s ability to empower businesses in making smart, data-driven decisions by uncovering hidden trends. This training aims to harness these capabilities, equipping trainees to present data effectively to decision-makers.

Training Objective:

This training aims to harness these capabilities, equipping trainees to present data effectively to decision-makers. Generally, by the end of this training, trainees will have a better understanding of:

Basics of Data Analytics: Fundamental concepts, steps, and best practices in data analytics.

Unlock Hidden Trends: Learn to analyze data from various sources, such as sales figures, customer data, social media, etc.

Informative and Attractive Data Presentation: Master data visualization to present insights clearly and effectively.

Training Output:

Upon successful completion of this training, you will receive:

  • CITCOT Certificate: Signed by Trainer Dr. Tsegamlak Terefe, this certificate validates your acquired knowledge.
  • Exam Support: Gain the confidence and support you need to take and pass the ‘Microsoft Certified Power BI Data Analyst Associate‘ certification exam.
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Tsegamlak Terefe (PHD)

Dr. Tsegamlak holds a PhD in Computer Science from Université de Haute-Alsace, specializing in temporal data mining. With a diverse career spanning various technical roles—from associate consultant, trainee wireless engineer, full-fledged wireless engineer to a senior software developer at Ernst & Young, Huawei Technologies, and ZERGAW Cloud—he has developed a robust skill set at the intersection of academia and industry.

Currently, Dr. Tsegamlak serves as an Assistant Professor at Addis Ababa University’s Addis Ababa Institute of Technology (AAU, AAIT) and as a Software Department Manager at ZERGAW Cloud Services, where he focuses on developing innovative modules for Enterprise Resource Planning (ERP) software. His dual role allows him to bridge theoretical knowledge and practical application, enriching the learning experience for his students and colleagues alike.

An accomplished researcher, Dr. Tsegamlak has authored over 10 scientific papers on crucial topics such as temporal data mining, telecom network optimization, and local language transmission efficiency. His work has contributed significantly to advancing these fields. In addition to his academic and technical pursuits, Dr. Tsegamlak is committed to knowledge sharing. He actively delivers training on data mining and related tools to professionals in both government and non-governmental organizations, empowering them to leverage data for informed decision-making. Dr. Tsegamlak’s unique blend of academic prowess and industry experience positions him as a thought leader dedicated to driving innovation and excellence in technology.