Data & Analytics

Project management training can help provide employees with an understanding of the skills needed for moving any project in the right direction. At Go1, we offer a wide range of online learning resources which cover all aspects of project management, including how to create objectives, prioritise goals, organise tasks, and time manage projects – while also sticking to budgets and available resources.

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Data, when collected, prepared, and analyzed well, can help individuals and organizations illuminate strengths, identify opportunities, and add meaning to the current state of affairs. This playlist presents a collection of courses to introduce and build skills in a variety of data analysis techniques. For true beginners, there’s a 240-hour course with comprehensive instruction and practice opportunities all around data analysis. For those looking to build skills in specific areas, explore Power BI, Alteryx, Google analytics, and AWS data analytics. This playlist is curated for global audiences and highlights a diversity of courses and Content Partners from multiple countries. It is meant to serve as an initial introduction to a variety of learning experiences on this topic, not as a prescribed curriculum. Level = Beginner / All. Curious to learn more? Explore these related playlists: <ul><li>Leverage Technology: Digital Dexterity in Today's World</li><li>Look to the Future: Artificial Intelligence, Machine Learning, &amp; Blockchain</li></ul> This playlist was updated in May 2023.

CloudSwyft Global Systems, Ltd.

Digital transformation and advanced technologies like AI and quantum computing are fueled by data. Every industry and profession needs data analysis, from a small business’s survey data to CERN’s 100’s of petabytes per experiment. Analyzing data is one of the most critical skills of the future.

This course, meant for people of all ages, will bring you from the very beginnings of data concepts and structures in context, all the way through analyzing data, telling data stories effectively, and understanding the environments in which data exists throughout our work and life. It will also start you on the path to becoming a data analyst. Throughout the course, we’ll reference additional courses and learning paths you can take to help you on your data career journey.

Excel Data Analysis

Data Analysis Techniques

Analyzing large data sets

Data Literacy

Problem Solving with Data

Performing BI Analysis

Data analysis efficiency

Learning from scratch? This course provides an accessible entry-point into the fascinating world of data analysis.

Introduction to Data Analysis using Excel for Absolute Beginners

Shaw  Academy

Learn to analyse data to make better decisions and gain a solid foundation in statistics to better interpret your data in this online data analytics training course.

Utilizing Data Science Tools

Statistical Learning

Performing Statistical Analysis

Data frame manipulation

Data visualization with R

Data Analytics

Simon Sez IT

In this course, you will learn how to leverage one of the most sought-after data analytic tools, Microsoft Excel. As you explore the tools and functions that allow you to transform raw data into meaningful information, you gain the insight to forecast and predict future trends.

By the end of this course, you will have a firm grasp of this all-in-one data management software that allows you to easily import, explore, clean, analyze, and visualize your data. To get the most out of the coursework, you should have a working knowledge of Excel.

Using Statistical Functions

Forecasting with Excel

Mastering Excel Features

Using advanced formulas

Intermediate Power BI functions

Creating Pivot Charts

Microsoft Excel remains one of the best tools for Data Analysis.

Excel for Business Analysts

If you've used Power Query in Excel, then you'll find it simple moving to Power BI. In this in-depth course, you will see how this self-service business intelligence (BI) solution enables you to create impressive charts and graphs that generate business insight and fuel decision making.

Upon completion of this course, you will know how to use Power Query for organizing and cleaning your data. As you proceed into building a data model and relating separate tables, you will be well on your way to combining and analyzing millions of rows of data. you'll further build on your Power BI skills by creating reports and sharing them as interactive dashboards via Power BI Online.

Mastering Power BI

Using Power BI Desktop

Transform data using Power Query

Creating Tabular Models

Data Cleansing

Using DAX Formulas

Mastering DAX language

Learn to analyze data and create beautiful dashboards with this Microsoft Power BI beginners course

Microsoft Power BI for Beginners

LearnNow Online

Course description

This course provides a solid understanding of Big Data transformations in AWS using QuickSight: This course covers: how to get started with your first Visual in QuiskSight, uploading Data To S3 Buckets and making connections to Athena. 

Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

 Prerequisites

An understanding of:
AWS Certified Cloud Practitioner, Part 1 of 8: Get Started 	
AWS Certified Cloud Practitioner, Part 2 of 8: Firecracker and Cost Management 	
AWS Certified Cloud Practitioner, Part 3 of 8: Security and Compute 		
AWS Certified Cloud Practitioner, Part 4 of 8: Storage and Database 		
AWS Certified Cloud Practitioner, Part 5 of 8: Governance 		
AWS Certified Cloud Practitioner, Part 6 of 8: Cloud Networking 	
AWS Certified Cloud Practitioner, Part 7 of 8: Cloud Architecture 

would be helpful

 Meet the expert

<h5>Syed Raza</h5>

Syed Raza is an IT Enterprise Solutions, Senior Project Architect and Manager.  He has over 20 years experience in  DevOps, Agile, Lean SixSigma, ITIL, ITSM along with AWS, Azure, Google Cloud enterprise solutions including Python, Java, JavaScript, React JS, GCP, Kubernetes, Docker as well as Artificial intelligence.

 

Video Runtime

62 Minutes

Time to complete

82 Minutes

 

Course Outline

<h5>Get Started with QuickSight</h5>

Creating Your First Visual With AWS QuickSight (21:59)

<ul>
<li>Introduction (00:13)</li>
<li>Creating Your First Visual With AWS QuickSight (15:34)</li>
<li>AWS QuickSight User Interface (06:04)</li>
<li>Summary (00:08)</li>
</ul>

Uploading Data To S3 Bucket (18:01)

<ul>
<li>Introduction (00:08)</li>
<li>Uploading Data To S3 Bucket (04:25)</li>
<li>AWS Athena Glue Creating New Database (13:19)</li>
<li>Summary (00:08)</li>
</ul>

Making Connection Athena To QuickSight (22:43)

<ul>
<li>Introduction (00:08)</li>
<li>Making Connection Athena To QuickSight (11:03)</li>
<li>AWS UI Sample DataSet (11:23)</li>
<li>Summary (00:08)</li>
</ul>

Performing AWS Athena data analysis

AWS Fundamentals

Create CloudWatch Dashboards

Understanding Spotfire basics

Getting started with GCP

AWS Services

AWS Account Management

AWS Data Analytics, Part 1 of 3: Get Started with QuickSight

Course description

This course provides a solid understanding of Big Data transformations in AWS using QuickSight: This course covers: how to create a DataLake, importing a CSV file, Creating a Calculated Field as well as creating your first Story. 

Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

 Prerequisites

An understanding of:
AWS Certified Cloud Practitioner, Part 1 of 8: Get Started 	
AWS Certified Cloud Practitioner, Part 2 of 8: Firecracker and Cost Management 	
AWS Certified Cloud Practitioner, Part 3 of 8: Security and Compute 		
AWS Certified Cloud Practitioner, Part 4 of 8: Storage and Database 		
AWS Certified Cloud Practitioner, Part 5 of 8: Governance 		
AWS Certified Cloud Practitioner, Part 6 of 8: Cloud Networking 	
AWS Certified Cloud Practitioner, Part 7 of 8: Cloud Architecture 

would be helpful

 Meet the expert

<h5>Syed Raza</h5>

Syed Raza is an IT Enterprise Solutions, Senior Project Architect and Manager.  He has over 20 years experience in  DevOps, Agile, Lean SixSigma, ITIL, ITSM along with AWS, Azure, Google Cloud enterprise solutions including Python, Java, JavaScript, React JS, GCP, Kubernetes, Docker as well as Artificial intelligence.

 

Video Runtime

58 Minutes

Time to complete

78 Minutes

 

Course Outline

<h5>Importing Data</h5>

DataLake, Athena, Glue, and S3 (18:55)

<ul>
<li>Introduction (00:13)</li>
<li>AWS Important Concepts DataLake Athena Glue S3 (12:31)</li>
<li>Upgrading QuickSight To Enterprise 53 (06:02)</li>
<li>Summary (00:08)</li>
</ul>

Importing a CSV File (13:28)

<ul>
<li>Introduction (00:08)</li>
<li>Importing CSV File (06:35)</li>
<li>Creating a Basic Filter (06:37)</li>
<li>Summary (00:08)</li>
</ul>

Creating a Calculated Field (11:44)

<ul>
<li>Introduction (00:08)</li>
<li>Creating a Calculated Field (06:28)</li>
<li>Understanding Function Reference (05:00)</li>
<li>Summary (00:08)</li>
</ul>

Creating Your First Story (13:59)

<ul>
<li>Introduction (00:08)</li>
<li>Creating Your First Story (06:40)</li>
<li>Publish Your Dashboard For Sharing (03:55)</li>
<li>Exporting Visuals (03:07)</li>
<li>Summary (00:08)</li>
</ul>

Implementing AWS Data Pipelines

Data Importing

Stream Data Processing

AWS Data Analytics, Part 2 of 3: Importing Data

Course descriptionThis course provides a solid understanding of Big Data transformations in AWS using QuickSight: This course covers: using Twitter as a Data Source, discusses Microsoft Power BI vs QuickSight as well as a good understanding of Athena and Glue.Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course. PrerequisitesAn understanding of: AWS Certified Cloud Practitioner, Part 1 of 8: Get Started 	 AWS Certified Cloud Practitioner, Part 2 of 8: Firecracker and Cost Management 	 AWS Certified Cloud Practitioner, Part 3 of 8: Security and Compute 		 AWS Certified Cloud Practitioner, Part 4 of 8: Storage and Database 		 AWS Certified Cloud Practitioner, Part 5 of 8: Governance 		 AWS Certified Cloud Practitioner, Part 6 of 8: Cloud Networking 	 AWS Certified Cloud Practitioner, Part 7 of 8: Cloud Architecture would be helpful Meet the expertSyed RazaSyed Raza is an IT Enterprise Solutions, Senior Project Architect and Manager.  He has over 20 years experience in  DevOps, Agile, Lean SixSigma, ITIL, ITSM along with AWS, Azure, Google Cloud enterprise solutions including Python, Java, JavaScript, React JS, GCP, Kubernetes, Docker as well as Artificial intelligence. Video Runtime62 MinutesTime to complete82 Minutes Course OutlineData SourcesConnecting to Twitter as a Data Source (19:35)<ul><li>Introduction (00:13)</li><li>Connecting to Twitter as a Data Source (03:36)</li><li>Using Autograph in QuickSight (06:23)</li><li>How to Create AWS QuickSight Account (09:14)</li><li>Summary (00:08)</li></ul>Microsoft Power BI vs. AWS QuickSight (16:05)<ul><li>Introduction (00:08)</li><li>Microsoft Power BI VS AWS QuickSight (05:15)</li><li>What is AWS QuickSight Workflow (10:34)</li><li>Summary (00:08)</li></ul>Understanding S3, Athena, and Glue (26:23)<ul><li>Introduction (00:08)</li><li>Understanding AWS S3 Athena and Glue (12:15)</li><li>How to Create RDS (MySQL) Connection For QuickSig (13:52)</li><li>Summary (00:08)</li></ul>

Creating custom data sources

AWS Data Analytics, Part 3 of 3: Data Sources

Coursera  

Use the DAX Language to create measures and calculations to faciliate creating visualizations and reports in Power BI

Advanced Power Pivot Functionality

Using MDX Syntax

Power BI for Beginners Introduction to DAX Language

Make Sense of the Numbers: Data Analytics Basics

Gartner defines Big Data as high-volume, high-velocity, and/or high-variety information assets that demand effective, innovative forms of information processing that enable enhanced insight, decision-making, and process automation. Today, the generally accepted Big Data process model has three dimensions: The 3 Vs for Volume, Variety, and Velocity. This playlist has been compiled for individuals enthusiastic to learn more about the concept of Big Data. From some shorter courses introducing Big Data and how Big Data continues to transform the world we live, work, and think in, the playlist provides several more in-depth courses which explore areas such as Data Science and Big Data for architects. The playlist is curated for a global audience and highlights a diversity of courses and Content Partners from multiple countries. It is meant to serve as an initial introduction to a variety of learning experiences on the topic, not as a prescribed curriculum. Level = Beginner / All.This Playlist was updated in September 2023.Curious to learn more? Explore these related playlists:• Boost Your Digital Skills: Beginner• Boost Your Digital Skills: Advanced• Make Sense of the Numbers: Data Analytics Basics

Enspark Interactive

Big Data has emerged as a game-changer, revolutionizing the way we analyze and extract valuable insights from vast and complex datasets. This micro-learning course delves into the core concepts of Big Data, providing participants with a comprehensive understanding of its significance across various domains. From harnessing the potential of massive, rapidly accumulating data to predicting future behaviors, businesses and organizations have realized the transformative power of Big Data analysis. By the end of this course, participants will be empowered to leverage Big Data effectively and gain a competitive edge in their respective fields.Time to complete5 minutes

Understanding Big Data

Big Data Management

Identifying Big Data Challenges

Data Transformation

Data Parsing

Digital Transformation: What Is Big Data?

Fabiola Garcia

¿Es posible mejorar el rumbo de una empresa a través del análisis de grandes cantidades de información? Big Data supone no solo acceder a millones de datos, sino recopilarlos, tratarlos y sacar conclusiones realistas para tomar decisiones sólidas;

Listening at scale

Personalized targeting

Big Data (Big Data)

Pluralsight  Admin

Making business decisions is a serious matter that must be done based on insights obtained from data—the more data the merrier. In this course,  Big Data: Executive Briefing, you will be exposed to a high level overview of why big data matters to your organization. First, you will learn why making business decisions based on insights from large amounts of data matters so much for businesses. Next, you will explore what big data is, including the different types of big data. Finally, you will discover some of the platforms and projects that are available to process big data. When you’re finished with this course, you’ll have the knowledge required to identify how big data can be leveraged within your company to gain insights that can give you a competitive advantage.

Data-driven decision making

Big Data: Executive Briefing

Pinktum  

Big Data, Cloud, Artificial Intelligence (AI)—you've probably heard these terms before. But are you able to explain the meaning behind these trend words? Unless you're a data scientist or an AI developer, you may have a hard time understanding the world of data and related technologies. This is exactly where this e-training comes in: You will learn about important topics surrounding Big Data, with no prior knowledge needed. It is not about how you can handle Big Data yourself—but a basic overview of what Big Data actually is, the opportunities and challenges associated with it, and which methods and tools data experts use to create added value from Big Data.

IoT Data Analysis

Analyze healthcare data

Big Data—Understanding the World of Data

Eanna Thompson

In this lesson we will look at traditional data versus big data, how we process and store big data, as well as, the 3 Vs of big data. You will learn about tools for managing big data such as software applications, data visualisation tools and business intelligence. We also explore how to use big data to formulate organisational strategies and how big data is being used in social media, e-commerce and healthcare.

Data manipulation

Manage Data Storage

Big Data

Coorpacademy ∞

What is Big Data?
    A chapter from the course : Big Data
    Pressing an elevator button, sending and email or searching for something on the web... Even the smallest actions create data. With the internet, the mass of data available and thus collected continues to increase, thereby giving rise to new practices. Blockchain, machine learning, data visualisation and predictive analysis form the disciplines born alongside Big Data. You will find out more about them in this course.

Data Mining

Securing Big Data

Data Handling Best Practices

What is Big Data?

The Big Data market
    A chapter from the course : Big Data
    Pressing an elevator button, sending and email or searching for something on the web... Even the smallest actions create data. With the internet, the mass of data available and thus collected continues to increase, thereby giving rise to new practices. Blockchain, machine learning, data visualisation and predictive analysis form the disciplines born alongside Big Data. You will find out more about them in this course.

The Big Data market

Pressing an elevator button, sending and email or searching for something on the web... Even the smallest actions create data. With the internet, the mass of data available and thus collected continues to increase, thereby giving rise to new practices. Blockchain, machine learning, data visualisation and predictive analysis form the disciplines born alongside Big Data. You will find out more about them in this course.

Data Classification and Prediction

Big Data - Part 1

Big Data - Part 2

Big Data - Part 3

Big Data &amp; Cloud Computing
    A chapter from the course : Big Data
    Pressing an elevator button, sending and email or searching for something on the web... Even the smallest actions create data. With the internet, the mass of data available and thus collected continues to increase, thereby giving rise to new practices. Blockchain, machine learning, data visualisation and predictive analysis form the disciplines born alongside Big Data. You will find out more about them in this course.

Building cloud-based ML services

Big Data & Cloud Computing

Expert Academy

The business world is always transforming in exciting and interesting ways. With new technologies come excellent opportunities for your company to boost its efficiency and grow at an exponential rate - AI and Big Data being a couple of examples.However, with every new business integration comes a new wave of ethical questions. This course will run you through various advanced ethical issues your business might encounter - technology-related and others - and how you can implement fundamental philosophical models to resolve them. For example, you will learn about how to make use of Big Data in an ethical manner, as well as the safe integration of artificial intelligence within your business.You will also learn how to maintain strong, ethical relationships with transnational businesses, such as distributors, suppliers and partner brands.Whilst ethics is mostly wrapped up in theory, it is most useful when you know how to apply it correctly. This advanced ethics course will also teach you the practical applications of philosophical frameworks, and how to use them in real-life scenarios. More specifically, you will learn how to use ethics in crisis events, as well as understand the correct procedures to follow depending on the type of crisis you are dealing with.Put all this together, and you have a set of content that will help you master advanced business ethics with ease. Enrol now to learn more!Who Is The Course For?<ul><li>Managers and team leaders looking to develop thinking patterns that enable them to make difficult business decisions</li><li>Managers who hope to implement cutting-edge technologies in areas such as marketing, and for general streamlining</li><li>Employees who deal with and resolve crisis events within their company</li><li>Young professionals and students who are interested in a career in management</li></ul>

Practice Cyber Ethics

Making ethical decisions

Developing Personal Ethics

Business Ethics

Integrity in Business

Maintaining ethical balance

Artificial Intelligence Awareness

Overcome Ethical Issues With Big Data, AI Integration And Crisis Events Using Fundamental Philosophical Models

Advanced Business Ethics

Filtered Technologies

Business growth requires a mix of analytical skills (to manipulate data), business acumen (to apply findings to real-world situations) and statistics (to separate what's essential from what's not). 
 
This is the 'data scientist' skillset, a job that has emerged to meet the increased demands and opportunities of the profusion of data generated by the web and modern technology. 
 
This Data Science course teaches the analytical and statistical skills to allow students to turn data into actionable insights. It covers how to use an analytical toolkit consisting of widely available or free software (principally Microsoft Excel and the R programming language) to allow statistical analysis and visualization. 
 
This course wrests data science back from the data scientist – it teaches the essential elements of data science to allow business generalists to solve real business problems themselves. It also provides an accelerated way for those interested in a career in data science. 
 
Course Prerequisites 
This Introduction to Data Science course assumes no existing knowledge of the topic. An understanding of data analysis principles is helpful but not essential. 
 
Course Details 
This Introduction to Data Science training uses a combination of text, bitesize videos, practice exercises and interactive knowledge checks.

Introduction to Data Science

Packt Admin

Do you want a guide that will help you to pick the right Big Data technology for your project? Or do you want to get a solid understanding of the Big Data architecture and pipelines? This course will help you out.After highlighting the course structure and learning objectives, the course will take you through the steps needed for setting up the environment. Next, you will understand the Big Data logical architecture, study the evolution of Big Data technologies, and explore Big Data pipelines. Moving along, you will become familiar with ingestion frameworks, such as Kafka, Flume, Nifi, and Sqoop. Next, you will learn about key storage frameworks, such as HDFS, HBase, Kudu, and Cassandra. Finally, you will go through the various data formats and uncover key data processing and data analysis frameworks.By the end of this course, you will have a good understanding of the Big Data architecture and technologies and will have developed the skills to build real-world Big Data pipelines.

Data Pipeline Building

Data Lake Design

Understanding Streaming Basics

Designing Data Warehouse Architecture

Dataflow programming

Get to grips with big data technologies and work on real-world big data projects confidently

Big Data for Architects

David  Nguyen 

Big Data....We hear about it every day we are constantly producing it and companies love it. But what exactly is data? Wait no longer to go behind the scenes of this data revolution.

Big Data : what you need to know!

Emeritus Online

It doesn’t matter how much data you have. How you use it successfully is what counts, says Big Data guru, Bernard Marr. But how do you know what data to collect and how to use it. This series helps ascertain your strategic data needs and offers actionable advice on how to leverage your data to improve business performance. The videos here are a primer for businesses wanting to create a robust data strategy and gain a competitive advantage.

Data-driven strategy development

How to benefit from big data, analytics and other internet-driven technology

Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things - Insights from the book by Bernard Marr

Go Big: Introduction to Big Data

Data & Analytics

Curated By Go1

Make Sense of the Numbers: Data Analytics Basics

Go Big: Introduction to Big Data