Go beyond basic spreadsheets and revolutionize your daily tasks. This Camanda Academy course is perfect for anyone looking to optimize their workflow, from complete beginners to experienced users aiming for peak efficiency. You’ll dive deep into Microsoft Excel, mastering formulas, data manipulation, and advanced functions. What truly sets this course apart is the integration of […]
BUNDLE PROGRAM: The Microsoft Power Platform All-in-One packed course Microsoft Power Platform is a suite of low-code tools designed to help individuals and businesses automate processes, analyse data, build apps, and create virtual agents—all without extensive coding. It consists of Power BI, Power Apps, Power Automate, Power Pages, and Power Virtual Agents (Copilot), with Dataverse
Microsoft Power Platform (Dataverse + Power BI + Power Apps + Power Automate) Read More »
In today’s data-driven world, the ability to efficiently manage and extract meaningful insights from your spreadsheets is paramount. This masterclass is designed to empower you with the essential skills to transform raw data into actionable intelligence. We’ll delve into the intricacies of sorting and filtering, enabling you to organize and isolate crucial information with precision.
Data Handling in Excel: Sort, Filtering & Data Validation Technique Read More »
This course provided hands-on training for Excel beginners to develop essential skills for confidently using the program. Participants were introduced to functions, data entry, formatting, basic formulas, and data visualization techniques. The course catered to both beginners and those looking to improve their Excel skills by equipping them with the necessary tools for organizing data,
What is Data Analytics? Things you need to know before starting your journey as a data analyst.
Excel Masterclass: Understanding Data Analytics — DAELites Masterclass Read More »
📌What is Power BI? 📌How do i become a Power BI developer? 📌Why should I learn Power BI as a Data Analyst? 📌Where should I learn Power BI from? All the questions above and more will be answered in our Power BI Masterclass. Join us on Tuesday 21st May with a Power BI professional, Mr.
📌Why should I learn Python as a Data Analyst? 📌Is Python for Data Analysis a prerequisite for my Career Advancement? 📌How do I get started with Python for Data Analysis? Join our facilitator Mr.Tomisin Olatoye on the 23rd July 2024 as he unveils the foundation of Python for Data Analysis. The Python Masterclass for Data
Getting Started with Python for Data Analysis — DAELites Masterclass Read More »
One of the most popular myths about SQL (Structured Query Language) is that it is a complex tool that can only be used by database experts and IT professionals. In Reality, SQL is designed to be a simple and powerful language that anyone can learn and use. Register for our SQL Masterclass where you’ll gain
Become proficient in Tableau with this course designed to teach you the art of data visualization. Learn to create dynamic dashboards, apply best practices in data visualization, and communicate data insights effectively. By the end, you’ll be able to build and share impactful visualizations that tell a compelling data story. 8 weeks intensive training Expert
Tableau For Intermediate Data Analytics — DAElites – The Tableau Academy Read More »
This course will guide you through the powerful features of Power BI. Learn to create interactive dashboards and detailed reports using data modeling, DAX functions, and visual analytics. By the end, you’ll be able to convert complex datasets into compelling visual stories that drive business intelligence. 6 weeks intensive training Tips to acing Microsoft PL300
Power BI For Intermediate Data Analysts — DAElites – The Power BI Academy Read More »
Learn how to create your first dashboard in Power BI in one weekend. This Power BI Dashboard in a Weekend program is a two-day, hands-on workshop for data analysts and business analysts that covers the full capabilities of Power BI. What You Will Learn Connect to, import, and transform data from a variety of sources Define
