Foundations of Project Management

 

What you'll learn

Describe project management skills, roles, and responsibilities across a variety of industries

Explain the project management life cycle and compare different program management methodologies 

Define organizational structure and organizational culture and explain how it impacts project management.

Join Free: Foundations of Project Management

There are 4 modules in this course

This course is the first in a series of six to equip you with the skills you need to apply to introductory-level roles in project management. Project managers play a key role in leading, planning and implementing critical projects to help their organizations succeed. In this course, you’ll discover foundational project management terminology and gain a deeper understanding of  the role and responsibilities of a project manager. We’ll also introduce you to the kinds of jobs you might pursue after completing this program. Throughout the program, you’ll learn from current Google project managers, who can provide you with a multi-dimensional educational experience that will help you build your skills  for on-the-job application. 

Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary.

By the end of this course, you will be able to:

- Define project management and describe what constitutes a project.

- Explore project management roles and responsibilities across a variety of industries.

- Detail the core skills that help a project manager be successful.

- Describe the life cycle of a project and explain the significance of each phase.

- Compare different program management methodologies and approaches and determine which is most effective for a given project.

- Define organizational structure and culture and explain how it impacts project management. 

- Define change management and describe the role of the project manager in the process.

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Project Execution: Running the Project

 

What you'll learn

Implement the key quality management concepts of quality standards, quality planning, quality assurance, and quality control.

Demonstrate how to prioritize and analyze data and how to communicate a project’s data-informed story. 

Discuss the stages of team development and how to manage team dynamics.

Describe the steps of the closing process and create project closing documentation.

Join Free: Project Execution: Running the Project

There are 6 modules in this course

This is the fourth course in the Google Project Management Certificate program. This course will delve into the execution and closing phases of the project life cycle. You will learn what aspects of a project to track and how to track them. You will also learn how to effectively manage and communicate changes, dependencies, and risks. As you explore quality management, you will learn how to measure customer satisfaction and implement continuous improvement and process improvement techniques. Next, you will examine how to prioritize data, how to use data to inform your decision-making, and how to effectively present that data. Then, you will strengthen your leadership skills as you study the stages of team development and how to manage team dynamics. After that, you will discover tools that provide effective project team communication, how to organize and facilitate meetings, and how to effectively communicate project status updates. Finally, you will examine the steps of the project closing process and how to create and share project closing documentation. Current Google project managers will continue to instruct and provide you with hands-on approaches for accomplishing these tasks while showing you the best project management tools and resources for the job at hand.

Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary.

By the end of this course, you will be able to: 

 - Identify what aspects of a project to track and compare different tracking methods.

 - Discuss how to effectively manage and communicate changes, dependencies, and risks.

 - Explain the key quality management concepts of quality standards, quality planning, quality assurance, and quality control.

 - Describe how to create continuous improvement and process improvement and how to measure customer satisfaction.

 - Explain the purpose of a retrospective and describe how to conduct one. 

 - Demonstrate how to prioritize and analyze data and how to communicate a project’s data-informed story. 

 - Identify tools that provide effective project team communication and explore best practices for communicating project status updates.

 - Describe the steps of the closing process for stakeholders, the project team, and project managers.

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Agile Project Management

 

What you'll learn

Explain the Agile project management approach and philosophy, including values and principles.

Discuss the pillars of Scrum and how they support Scrum values.

Describe the five important Scrum events and how to set up each event for a Scrum team.

Explain how to coach an Agile team and help them overcome challenges.

Join Free: Agile Project Management

There are 4 modules in this course

This is the fifth course in the Google Project Management Certificate program. This course will explore the history, approach, and philosophy of Agile project management, including the Scrum framework. You will learn how to differentiate and blend Agile and other project management approaches. As you progress through the course, you will learn more about Scrum, exploring its pillars and values and comparing essential Scrum team roles. You will discover how to build, manage, and refine a product backlog, implement Agile’s value-driven delivery strategies, and define a value roadmap. You will also learn strategies to effectively organize the five important Scrum events for a Scrum team, introduce an Agile or Scrum approach to an organization, and coach an Agile team. Finally, you will learn how to search for and land opportunities in Agile roles. Current Google project managers will continue to instruct and provide you with the hands-on approaches, tools, and resources to meet your goals.

Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary.

By the end of this course, you will be able to: 

 - Explain the Agile project management approach and philosophy, including values and principles.

 - Explain the pillars of Scrum and how they support Scrum values.

 - Identify and compare the essential roles in a Scrum team and what makes them effective.

 - Build and manage a Product Backlog and perform Backlog Refinement.

 - Describe the five important Scrum events and how to set up each event for a Scrum team.

 - Implement Agile’s value-driven delivery strategies and define a value roadmap.

 - Explain how to coach an Agile team and help them overcome challenges.

 - Conduct a job search for an Agile role and learn how to succeed in your interview.

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Google Project Management: Professional Certificate

 

What you'll learn

Gain an immersive understanding of the practices and skills needed to succeed in an entry-level project management role

Learn how to create effective project documentation and artifacts throughout the various phases of a project

Learn the foundations of Agile project management, with a focus on implementing Scrum events, building Scrum artifacts, and understanding Scrum roles

Practice strategic communication, problem-solving, and stakeholder management through real-world scenarios

Join Free: 

Professional Certificate - 6 course series

Prepare for a new career in the high-growth field of project management, no experience required. Get professional training designed by Google and get on the fastrack to a competitively paid job.

Project managers are natural problem-solvers. They set the plan and guide teammates, and manage changes, risks, and stakeholders.

Over 6 courses, gain in-demand skills that will prepare you for an entry-level job. Learn from Google employees whose foundations in project management served as launchpads for their own careers. At under 10 hours per week, you can complete in less than six months.

This program qualifies you for over 100 hours of project management education, which helps prepare you for 

Project Management Institute

 Certifications like the globally-recognized 

Certified Associate in Project Management (CAPM)®

Join FREE : Google Project Management: Professional Certificate

Applied Learning Project

This program includes over 140 hours of instruction and hundreds of practice-based assessments which will help you simulate real-world project management scenarios that are critical for success in the workplace.

The content is highly interactive and exclusively developed by Google employees with decades of experience in program and project management.

Skills you’ll gain will include: Creating risk management plans; Understanding process improvement techniques; Managing escalations, team dynamics, and stakeholders; Creating budgets and navigating procurement; Utilizing  project management software, tools, and templates; Practicing Agile project management, with an emphasis on Scrum.

Through a mix of videos, assessments, and hands-on activities, you’ll get introduced to initiating, planning, and running both traditional and Agile projects. You’ll develop a toolbox to demonstrate your understanding of key project management elements, including managing a schedule, budget, and team.

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DevOps on AWS: Release and Deploy

 

Build your subject-matter expertise

This course is part of the DevOps on AWS Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free: DevOps on AWS: Release and Deploy

There are 2 modules in this course

AWS provides a set of flexible services designed to enable companies to more rapidly and reliably build and deliver products using AWS and DevOps practices. These services simplify provisioning and managing infrastructure, deploying application code, automating software release processes, and monitoring your application and infrastructure performance. 

The third course in the series explains how to improve the deployment process with DevOps methodology, and also some tools that might make deployments easier, such as Infrastructure as Code, or IaC, and AWS CodeDeploy.

The course begins with reviewing topics covered in the first course of the DevOps on AWS series. You will learn about the differences between continuous integration, continuous delivery, and continuous deployment. In Exercises 1 and 2, you will set up AWS CodeDeploy and make revisions that will then be deployed. If you use AWS Lambda, you will explore ways to address additional considerations when you deploy updates to your Lambda functions.

Next, you will explore how infrastructure as code (IaC) helps organizations achieve automation, and which AWS solutions provide a DevOps-focused way of creating and maintaining infrastructure. In Exercise 3, you will be provided with an AWS CloudFormation template that will set up backend services, such as AWS CodePipeline, AWS CodeCommit, AWS CodeDeploy, and AWS CodeBuild. You will then upload new revisions to the pipeline.

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DevOps on AWS: Operate and Monitor

 

Build your subject-matter expertise

This course is part of the DevOps on AWS Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free: DevOps on AWS: Operate and Monitor

There are 2 modules in this course

The third and the final course in the DevOps series will teach how to use AWS Services to control the architecture in order to reach a better operational state. Monitoring and Operation are key aspects for both the release pipeline and production environments, because they provide instruments that help discover what's happening, as well as do modifications and enhancements on infrastructure that is currently running. 

This course teaches how to use Amazon CloudWatch for monitoring, as well as Amazon EventBridge and AWS Config for continuous compliance. It also covers Amazon CloudTrail and a little bit of Machine Learning for Monitoring operations!

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Exam Prep: AWS Certified Cloud Practitioner Foundations

 

What you'll learn

The four domains - Cloud Concepts, Security and Compliance, Technology and Billing and Pricing - for the AWS Certified Cloud Practitioner exam

Certification exam-level practice questions written by experts from AWS

Simulations designed to solidify understanding of cloud concepts you need to know for the exam

Join Free: Exam Prep: AWS Certified Cloud Practitioner Foundations

There are 4 modules in this course

This new foundational-level course from Amazon Web Services (AWS), is designed to help you to assess your preparedness for the AWS Certified Cloud Practitioner certification exam.  You will learn how to prepare for the exam by exploring the exam’s topic areas and how they map to both AWS Cloud practitioner roles and to specific areas of study. You will review sample certification questions in each domain, practice skills with hands-on exercises, test your knowledge with practice question sets, and learn strategies for identifying incorrect responses by interpreting the concepts that are being tested in the exam. At the end of this course you will have all the knowledge and tools to help you identity your strengths and weaknesses in each certification domain areas that are being tested on the certification exam. 

The AWS Certified Cloud Foundations Certification the AWS Certified Cloud Practitioner (CLF-C01) exam is intended for individuals who can effectively demonstrate an overall knowledge of the AWS Cloud independent of a specific job role. The exam validates a candidate’s ability to complete the following tasks: Explain the value of the AWS Cloud, Understand and explain the AWS shared responsibility model, understand security best practices, Understand AWS Cloud costs, economics, and billing practices, Describe and position the core AWS services, including compute, network, databases, and storage and identify AWS services for common use cases

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AWS Cloud Practitioner Essentials

 

What you'll learn

Understand the working definition of the AWS Cloud

Differentiate between on-premises, hybrid-cloud, and all-in cloud

Describe the basic global infrastructure of the AWS Cloud

Explain the benefits of the AWS Cloud

Join Free: AWS Cloud Practitioner Essentials

There are 7 modules in this course

Welcome to AWS Cloud Practitioner Essentials. If you’re new to the cloud, whether you’re in a technical or non-technical role such as finance, legal, sales, marketing, this course will provide you with an understanding of fundamental AWS Cloud concepts to help you gain confidence to contribute to your organization’s cloud initiatives. This course is also the starting point to prepare for your AWS Certified Cloud Practitioner certification whenever it’s convenient for you.

After you complete the course, you’ll understand the benefits of the AWS Cloud and the basics of its global infrastructure. You’ll be able to describe and provide an example of the core AWS services, including compute, network, databases, and storage. For the finance-minded, you’ll be able to articulate the financial benefits of the AWS Cloud, define core billing and pricing models, and learn how to use pricing tools to make cost-effective choices for AWS services.

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Migrating to the AWS Cloud

 

Build your subject-matter expertise

This course is part of the AWS Fundamentals Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free: Migrating to the AWS Cloud

There are 4 modules in this course

This introductory course is for anyone who wants a deeper dive into AWS migration. Whether you want to understand what services are helpful, need to plan a migration for your organization, or are helping other groups with their own migration, you will find valuable information throughout this course. The course sessions structure cloud migration through the three-phase migration process from AWS: assess, mobilize, and migrate and modernize. This process is designed to help your organization approach and implement a migration of tens, hundreds, or thousands of applications. By learning about this three-phase structure—and the various AWS tools, features, and services that can help you during each phase—you will complete this course with a better understanding of how to design and implement migrations to AWS.

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Architecting Solutions on AWS

 

Build your subject-matter expertise

This course is available as part of 

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free: Architecting Solutions on AWS

There are 4 modules in this course

Are you looking to get more technical? Are you looking to begin working in the cloud, but don’t know where to go next? Are you looking to up your game by prepping for the AWS Solutions Architect Associate Exam? Do you see yourself as a cloud consultant, but can’t quite envision how your days would be? Are you puzzled how to match a customer’s requirements with the right AWS services/solutions? If so, you are in the right place!! You’ll learn how to plan, think, and act like a Solution Architect in a real-life customer scenario.

In this course, you’ll get prepared to begin your career architecting solutions on AWS. Through a series of use case scenarios and practical learning, you’ll learn to identify services and features to build resilient, secure, and highly available IT solutions in the AWS Cloud. Each week, a fictional customer will present a different need. We will then review the options, choose the best one for the use case and walk you through the architecture design on a whiteboard. You’ll learn about event-driven architectures with a focus on performance efficiency and cost. You’ll then gain knowledge on how to architect a solution using many purpose-built AWS services. With this understanding, you’ll get a sense of hybrid architectures with a refined focus on reliability and operational efficiency. Finally, you’ll wrap up your learning by understanding a multi-account strategy centered on security and cost.

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AWS Cloud Solutions Architect Professional Certificate

 

What you'll learn

Make informed decisions about when and how to apply key AWS Services for compute, storage, database, networking, monitoring, and security.

Design architectural solutions, whether designing for cost, performance, and/or operational excellence, to address common business challenges.

Create and operate a data lake in a secure and scalable way, ingest and organize data into the data lake, and optimize performance and costs.

Prepare for the certification exam, identify your strengths and gaps for each domain area, and build strategies for identifying incorrect responses.

Join Free: AWS Cloud Solutions Architect Professional Certificate

Professional Certificate - 4 course series

This professional certificate provides the knowledge and skills you need to start building your career in cloud architecture and helps you prepare for the AWS Certified Solutions Architect - Associate exam. You will start by learning key AWS Services for compute, storage, database, networking, monitoring, and security, then dive into how to design architectural solutions, how to create and operate a data lake, and how to prepare for the certification exam.

The AWS Certified Solutions Architect – Associate certification showcases knowledge and skills in AWS technology across a wide range of AWS services. The certification focuses on the design of cost and performance optimized solutions and demonstrating a strong understanding of the AWS Well-Architected Framework. This AWS Certification is one of the top-paying IT certifications, per the 

 SkillSoft IT Skills and Salary report

. Per

 Enterprise Strategy Group

, surveyed AWS Certification holders credited their certification for their higher earnings (74%), increased confidence (87%), and increased influence among coworkers (79%).

To prepare for your AWS Certification exam, we recommend that — in addition to attaining this professional certificate — candidates review the free exam guide, sample questions, and AWS technical documentation (e.g. white papers and product FAQs) on the

 AWS Certified Solutions Architect - Associate exam page

 to understand what content and services are covered by the exam.

Applied Learning Project

Through 15 hands-on labs, you’ll use the AWS Management Console to apply skills learned in the videos. 

For example: 

In Architecting Solutions on AWS, you’ll use Amazon API Gateway, AWS Lambda, Amazon SQS, Amazon DynamoDB, and Amazon SNS to build a serverless web backend.

In Introduction to Designing Data Lakes, you’ll use Amazon S3, Amazon OpenSearch Service, AWS Lambda and Amazon API Gateway to create an Amazon OpenSearch Service Cluster. You’ll also use Amazon S3, Amazon EC2, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, Amazon Elasticsearch Service to create a data ingestion pipeline with the use of high-scale AWS Managed services. 

In Cloud Technical Essentials, you’ll design a 3-tier architecture using services like Amazon VPC, Amazon EC2, Amazon RDS with high availability and Elastic Load Balancing following AWS best practices. You’ll upload an architecture diagram laying out your design including the networking layer.

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AWS Cloud Technical Essentials

 

What you'll learn

Describe terminology and concepts related to AWS services     

Articulate key concepts of AWS security measures and AWS Identity and Access Management (IAM)    

You will learn to distinguish among several AWS compute services, including Amazon EC2, AWS Lambda, and Amazon ECS.  

Understand AWS database and storage offerings, including Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, and Amazon S3.

Join Free: AWS Cloud Technical Essentials

There are 4 modules in this course

Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, AWS Cloud Technical Essentials is an ideal way to start. This course was designed for those at the beginning of their cloud-learning journey - no prior knowledge of cloud computing or AWS products and services required!

Throughout the course, students will build highly available, scalable, and cost effective application step-by-step. Upon course completion, you will be able to make an informed decision about when and how to apply core AWS services for compute, storage, and database to different use cases. You’ll also learn about cloud security with a review of AWS' shared responsibility model and an introduction to AWS Identity and Access Management (IAM). And, you’ll know how AWS services can be used to monitor and optimize infrastructure in the cloud.

AWS Cloud Technical Essentials is a fundamental-level course and will build your competence, confidence, and credibility with practical cloud skills that help you innovate and advance your professional future. Enroll in AWS Cloud Technical Essentials and start learning the technical fundamentals of AWS today!

Note: This course was designed for learners with a technical background. If you are new to the cloud or come from a business background, we recommend completing AWS Cloud Practitioner Essentials (https://www.coursera.org/learn/aws-cloud-practitioner-essentials) before enrolling in this course.

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Serverless Architectures on AWS

 

Build your subject-matter expertise

This course is part of the Developing Applications on AWS Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free: Serverless Architectures on AWS

There are 2 modules in this course

A modern software engineer knows how to use the benefits of managed services from Amazon Web Services to reduce the coding needed to get a project across the line. There’s a lot of code you really don’t need to write when you can use a managed service for your applications. Less code means less tests, less bugs, and quicker delivery. 

In this course, we get hands on with automation tools and serverless managed services. Get your projects completed faster without needing to maintain the underlying servers hosting the managed services. Treat your infrastructure as code using AWS CloudFormation and AWS Serverless Application Model as an automated way to build the resources hosting your applications. We use AWS Amplify to rapidly add front-end hosting and AWS Cognito to add authentication to our application. With Cognito in place, we upgrade the application API to require authentication. Next, we learn to use AWS Step Functions to move a lot of the workflow coordination code out of your applications. Using serverless services, we contrast some options for building event driven architectures with Amazon SNS, Amazon SQS and Amazon EventBridge. Join our expert instructors as we dive deep on real-world use cases for each of the featured services in the course. 

This course will provide a combination of video-based lectures, demonstrations and hands-on lab exercises that will get you working with automation tools, Cognito authentication, Step Function workflows and event-driven architectures.

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AWS Fundamentals Specialization

 

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts

Master a subject or tool with hands-on projects

Develop a deep understanding of key concepts

Earn a career certificate from Amazon Web Services

Join Free: AWS Fundamentals Specialization

Specialization - 3 course series

This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.

Applied Learning Project

This specialization gives current or aspiring IT professionals an overview of the features, benefits, and capabilities of Amazon Web Services (AWS). As you proceed through these four interconnected courses, you will gain a more vivid understanding of core AWS services, key AWS security concepts, strategies for migrating from on-premises to AWS, and basics of building serverless applications with AWS. Additionally, you will have opportunities to practice what you have learned by completing labs and exercises developed by AWS technical instructors.

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Introduction to Machine Learning on AWS

 

What you'll learn

Differentiate between artificial intelligence (AI), machine learning, and deep learning. 

Select the appropriate AWS machine learning service for a given use case.

Discover how to build, train, and deploy machine learning models.

Join Free: Introduction to Machine Learning on AWS

There are 2 modules in this course

In this course, we start with some services where the training model and raw inference is handled for you by Amazon. We'll cover services which do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. You'll think of your current solutions and see where you can improve these solutions using AI, ML or Deep Learning. All of these solutions can work with your current applications to make some improvements in your user experience or the business needs of your application.

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Data Visualization and Dashboards with Excel and Cognos

 

What you'll learn

Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.

Explain the important role charts play in telling a data-driven story. 

Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.

Build and share interactive dashboards using Excel and Cognos Analytics.

Join Free: Data Visualization and Dashboards with Excel and Cognos

There are 4 modules in this course

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. Next you’ll also work with the Excel PivotChart feature as well as assemble several visualizations in an Excel dashboard.  

This course also teaches you how to use business intelligence (BI) tools like Cognos Analytics  to create interactive dashboards. By the end of the course you will have an appreciation for the key role that data visualizations play in communicating your data analysis findings, and the ability to effectively create them. 

Throughout this course there will be numerous hands-on labs to help you develop practical experience for working with Excel and Cognos. There is also a final project in which you’ll create a set of data visualizations and an interactive dashboard to add to your portfolio, which you can share with peers, professional communities or prospective employers.

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Mathematics for Machine Learning: Linear Algebra

 

Build your subject-matter expertise

This course is part of the Mathematics for Machine Learning Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free: Mathematics for Machine Learning: Linear Algebra

There are 5 modules in this course

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally  we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works.

Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before.

At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.

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Introduction to Probability and Data with R

 

Build your subject-matter expertise

This course is part of the Data Analysis with R Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free: Introduction to Probability and Data with R

There are 8 modules in this course

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.

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Extract, Transform and Load Data in Power BI

 

What you'll learn

How to set up a data source and explain and configure storage modes in Power BI.

How to prepare for data modeling by cleaning and transforming data.

How to use profiling tools to identify data anomalies.

How to reference queries and dataflows and use the Advanced Editor to modify code. 

Join Free: Extract, Transform and Load Data in Power BI

There are 4 modules in this course

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. 

After completing this course, you’ll be able to: 

• Identify, explain and configure multiple data sources in Power BI  

• Clean and transform data using Power Query  

• Inspect and analyze ingested data to ensure data integrity

This is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification.

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Data Visualization with Tableau Specialization

 

What you'll learn

Examine, navigate, and learn to use the various features of Tableau

Assess the quality of the data and perform exploratory analysis

 Create and design visualizations and dashboards for your intended audience

 Combine the data to and follow the best practices to present your story

Join Free: Data Visualization with Tableau Specialization

Specialization - 5 course series

In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems.

 This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies. 

By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making.  The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.

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