Our Courses

Analyzing Data with Excel

Analyzing Data with Excel

Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.

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Extract, Transform and Load Data in Power BI

Extract, Transform and Load Data 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 the process of Extract, Transform and Load or ETL. You will identify how to collect data from and configure multiple sources in Power BI and prepare and clean data using Power Query. You’ll also have the opportunity to inspect and analyze ingested data to ensure data integrity.

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  • 20 hours
  • English
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Econometrics: Methods and Applications

Econometrics: Methods and Applications

Welcome! Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. * What do I learn? When you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing.

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  • 66 hours
  • English
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Data Analysis with OpenAI API: Save time with GenAI

Data Analysis with OpenAI API: Save time with GenAI

In this 2-hour project-based course, you will embark on an exciting journey as a mid-level data analyst at TechTrends, a thriving e-commerce company specializing in electronic gadgets and accessories. Your mission is to leverage the power of cutting-edge AI technology, specifically the OpenAI API's GPT-4, to extract invaluable insights from the treasure trove of sales data at TechTrends. As the driving force behind data-driven decisions that transcend traditional boundaries, you will delve into the world of data analysis and insight extraction.

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  • 2 hours
  • English
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Exploratory Data Analysis in AWS

Exploratory Data Analysis in AWS

Exploratory Data Analysis in AWS is the second course in the AWS Certified Machine Learning Specialty specialization. The main focus of this course is to analyze Data Streams and Data Analytics services in AWS along with exploring Data Analysis in AWS. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 2:00-2:30 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.

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  • 5 hours
  • English
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Mathematical Methods for Data Analysis

Mathematical Methods for Data Analysis

Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.

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  • 21
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UX Data Analysis

UX Data Analysis

Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations.

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  • 10
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Try It: Introduction to Google Analytics

Try It: Introduction to Google Analytics

This course is an introduction to using an analytics platform to unlock the power of data. Explore how data from digital products and tools can prepare you improve ROI, develop user insights, and generate revenue results. This course prepares you to learn more advanced approaches to digital analytics and data analysis used by data analysts, marketers, product managers, and other business professionals.

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  • 1
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Online Advertising & Social Media

Online Advertising & Social Media

Learn how to develop Online Advertising Ecosystems complete with Social Media/Social Network and Media Big Data analysis for better decision making in all forms of outreach.

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Digital Marketing Analytics: Tools and Techniques

Digital Marketing Analytics: Tools and Techniques

Learn how to leverage leading tools and approaches to digital marketing data analysis. Dive into SEO and Paid search strategies, web analytics, online testing, machine learning and AI/Big Data applications to strengthen your digital marketing efforts and leverage your resources most effectively.

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Introduction to Bayesian Statistics Using R

Introduction to Bayesian Statistics Using R

Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R.

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  • 14
  • English
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MATLAB Essentials

MATLAB Essentials

Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB.

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  • English
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R Data Science Capstone Project

R Data Science Capstone Project

Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.

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Programming for Data Science

Programming for Data Science

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

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Business and Data Analysis Skills

Business and Data Analysis Skills

Learn key business management skills as well as tools and methods for analyzing data and presenting results.

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Advanced statistical physics

Advanced statistical physics

We explore statistical physics in both classical and open quantum systems. Additionally, we will cover probabilistic data analysis that is extremely useful in many applications.

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  • 72
  • English
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Excel for Everyone: Data Analysis Fundamentals

Excel for Everyone: Data Analysis Fundamentals

Perform advanced data wrangling, analysis and dashboard visualization to help drive strategic decision-making.

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  • English
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Excel for Everyone: Core Foundations

Excel for Everyone: Core Foundations

Learn Excel fundamentals including data wrangling, spreadsheet management, and basic data analysis.

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  • English
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Cell Biology: Cell-Cell Interactions

Cell Biology: Cell-Cell Interactions

How do we know what we know about cells? Enhance your scientific thinking and data analysis skills with this in-depth adventure through cell biology.

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  • English
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Cell Biology: The Cytoskeleton and Cell Cycle

Cell Biology: The Cytoskeleton and Cell Cycle

How do we know what we know about cells? Enhance your scientific thinking and data analysis skills with this in-depth adventure through cell biology.

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Cell Biology: Transport and Signaling

Cell Biology: Transport and Signaling

How do we know what we know about cells? Enhance your scientific thinking and data analysis skills with this in-depth adventure through cell biology.

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Data Analytics in Sports Law and Team Management

Data Analytics in Sports Law and Team Management

This course provides an introduction to the fundamental ideas in applying data analytics to issues surrounding key regulatory and management functions within the sports industry. Sports as an industry is increasingly relying on data analytics for more effective deployment of resources and assessment of performance in areas ranging from player productivity to fan engagement, talent identification and development, coaching, sponsorship, and marketing. This course and its successors will help you understand this new role of data analysis in the sports business.

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  • 9 hours
  • English
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Quantitative Methods for Biology

Quantitative Methods for Biology

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

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Causal Diagrams: Draw Your Assumptions Before Your Conclusions

Causal Diagrams: Draw Your Assumptions Before Your Conclusions

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

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  • 9
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High-Dimensional Data Analysis

High-Dimensional Data Analysis

A focus on several techniques that are widely used in the analysis of high-dimensional data.

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