Embedded Files
This is a comprehensive course that delves into the fundamental concepts, principles, and practices of business intelligence (BI). You will gain a deep understanding of BI's role in modern business environments and its profound impact on driving data-driven decision-making. The course explores the emergence of BI and its transformative effect on how businesses operate, highlighting various examples of BI tools and self-service capabilities.
Through real-world use cases and scenarios, students will explore the practical applications of BI in different industries. Additionally, the course examines the numerous benefits of utilizing BI tools and emphasizes the essential skills required to excel in the field of business intelligence. By the end of the course, trainees will have established a strong foundation in BI concepts, setting them on the path to success in this dynamic field.
Introduction to Power BI
Data Cleaning & Transformation in Power Query
Practical Applications of DAX in Power BI
Practical Projects: Data Analytics and Visualization
Click here for OQD Financial Analytics Training Details: https://sites.google.com/onlyqualitydata.com/oqd-financial-analytics/home
In the Professional Data Analytics Training in Excel course, you will embark on a comprehensive journey through the powerful features of Microsoft Excel, a leading tool in data analytics. The course begins with an introduction to Microsoft Excel and an exploration of its key features. You will then gain proficiency in Excel functions and formulas, essential for performing calculations and data manipulations. The program goes on to cover working with data in Excel, connecting to external databases, and engaging in advanced data cleaning and transformation using Power Query. VIEW DETAILS
This is course is designed to equip you with the necessary skills needed to successfully transform you into a professional data analyst using Python for data analysis. The course emphasizes practical, hands-on projects, particularly in exploratory data analysis (EDA), where you'll uncover insights from real datasets, like ACME health insurance data, Quali_Tech Employee Churn Data, Global Wine Vineyard wine review data, and top 250 restaurants in 2020 dataset. By the end, you'll apply your skills in real-world projects, achieving hands-on mastery in data analytics and visualization, fully equipped to analyze and visualize data with Python's powerful tools. VIEW DETAILS
Page updated
Report abuse