Our Courses

From Data to Insights with Google Cloud

From Data to Insights with Google Cloud

Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets.

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  • English
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Google Business Intelligence

Google Business Intelligence

Get professional training designed by Google and take the next step in your career with advanced skills in the high-growth field of business intelligence. There are over 166,000 open jobs in business intelligence and the median salary for entry-level roles is $96,000.¹ Business intelligence professionals collect, organize, interpret, and report on data to help organizations make informed business decisions.

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  • English
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Strategic Business Analytics

Strategic Business Analytics

This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains.

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  • English
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Database systems

Database systems

This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems.

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  • English
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Business Intelligence and Competitive Analysis

Business Intelligence and Competitive Analysis

By the end of 2019, it is clear that American Airlines (AAL), the world’s largest airline group and a SP500 company, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines and going in the opposite direction from the SP500 index, AAL needs to find out what is going on, and how to turn the company and its stock price around. Addressing the challenge faced by AAL may well be a large-scale management consulting project.

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  • 11 hours
  • English
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Creative Designing in Power BI

Creative Designing in Power BI

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you will learn how to creatively design dashboards, reports and charts that are easier for the audience to use. You will learn how to create cohesive business intelligence reports and dashboards, as well as what common problems to avoid.

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  • 20 hours
  • English
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IBM Data Warehouse Engineer

IBM Data Warehouse Engineer

This Professional Certificate is intended to help you develop the job-ready skills and portfolio for an entry-level Business Intelligence (BI) or Data Warehousing Engineering position.

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Excel Regression Models for Business Forecasting

Excel Regression Models for Business Forecasting

This course allows learners to explore Regression Models in order to utilise these models for business forecasting. Unlike Time Series Models, Regression Models are causal models, where we identify certain variables in our business that influence other variables. Regressions model this causality, and then we can use these models in order to forecast, and then plan for our business' needs. We will explore simple regression models, multiple regression models, dummy variable regressions, seasonal variable regressions, as well as autoregressions.

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  • 9 hours
  • English
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Excel Skills for Data Analytics and Visualization

Excel Skills for Data Analytics and Visualization

As data becomes the modern currency, so the ability to quickly and accurately analyse data has become of paramount importance. Therefore, data analytics and visualization are two of the most sought after skills for high paying jobs with strong future growth prospects. According to an IBM report, the Excel tools for data analytics and visualization are among the top 10 competencies projected to show double-digit growth in their demand.

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Database Design and Operational Business Intelligence

Database Design and Operational Business Intelligence

Welcome to the course on Database Design and Operational Business Intelligence. This course is strategically crafted to empower you with the skills needed to design a robust database and efficiently manage intricate datasets. Throughout this course, you will acquire the expertise to develop well-formatted databases that are seamlessly designed to integrate with Power BI. Throughout this course, you'll delve into how Power BI and MS SQL Server are applied within specific industries. By the end of this course, you will be able to: 1.

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Data Warehousing for Business Intelligence

Data Warehousing for Business Intelligence

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics. This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics.

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  • English
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Business Analytics Executive Overview

Business Analytics Executive Overview

Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans. This course will focus on understanding key analytics concepts and the breadth of analytic possibilities.

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  • 17 hours
  • English
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Process Mining: Data science in Action

Process Mining: Data science in Action

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

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  • 22 hours
  • English
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Data Visualization and Dashboards with Excel and Cognos

Data Visualization and Dashboards with Excel and Cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code. You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines.

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  • 24 hours
  • English
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Data Warehouse Concepts, Design, and Data Integration

Data Warehouse Concepts, Design, and Data Integration

This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.

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  • 62 hours
  • English
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Business Intelligence Concepts, Tools, and Applications

Business Intelligence Concepts, Tools, and Applications

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. Effectively and efficiently mining data is the very center of any modern business’s competitive strategy, and a data warehouse is a core component of this data mining. The ability to quickly look back at early trends and have the accurate data – properly formatted – is essential to good decision making. By enabling this historical overview, a data warehouse allows decision makers to learn from past trends and challenges.

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  • 22 hours
  • English
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Database Management Essentials

Database Management Essentials

Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy.

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  • 123 hours
  • English
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Relational Database Support for Data Warehouses

Relational Database Support for Data Warehouses

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.

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  • 71 hours
  • English
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