Over 40 graduate in data analytics

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Over 40 graduate in data analytics
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A total of 46 students have graduated in data analytics from Eduskill Uganda after undertaking a 60-day online training program.

During the graduation ceremony held at  Silver Spring Hotel Bugolobi in Kampala officials said the  graduating class showcased their proficiency in a range of subjects essential for a successful career in data analytics.

The comprehensive curriculum covered key areas such as introduction to data analytics, basic and advanced Excel, Power BI, Python programming, statistics for data analytics, and effective data analytics communication practices.

In addition to the data analytics cohort, Eduskill Uganda also recognized the achievements of a cohort of students that were in their full stack programming course.

"We are immensely proud of each graduate for their perseverance and commitment throughout the training program," said Shivani, Director at Pic-Ed Company Limited. "

Our goal is to equip individuals with the skills and knowledge necessary to thrive in the rapidly evolving field of data analytics, and the success of this graduating class is a testament to the effectiveness of our training programs."

Officials said the  certificates awarded by Symbiosis International University reflect the international recognition and credibility of Eduskill Uganda's training programs as they partner with the university.

As a partner institute, Symbiosis University adds a global perspective to the educational journey of Eduskill Uganda's students.

"We invite all passionate individuals who are ready to embark on a transformative learning journey to join our upcoming cohort," said Nigi Ambrose, the Business Development Manager at Eduskill Uganda.

Data analytics

Experts say that in the rapidly evolving digital landscape of Uganda, the future of data analytics presents exciting opportunities for businesses.

Emerging technologies and trends in data analytics are shaping the way organizations operate and make data-driven decisions. For instance, in the healthcare sector, data analytics can be used to analyze data on patient records, identify patterns in diseases, and improve healthcare delivery.

In finance, data analytics helps banks and financial institutions detect fraud, manage risk, and personalize customer experiences.

E-commerce businesses can leverage data analytics to analyze customer behavior, optimize pricing strategies, and enhance marketing campaigns.

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