This Specialization will give you the knowledge and tools you need to record and produce professional sounding music. You will begin by developing your identity, vision, and intention as an artist and producer. Next, you will learn the technical aspects of music production, including how sound is translated into audio signals, recording techniques, and effects such as reverb, delay, and compression. You will also learn how to use the industry standard Digital Audio Workstation, Pro Tools, to create professional recordings. Finally, you will apply the knowledge and tools you gained in a culminating 4-week Capstone where you will complete a project beginning at the pre-production stage through the recording, mixing, and mastering stages.

The skills taught in this Specialization will empower you to succeed in any college-level course or professional field. You’ll learn to conduct rigorous academic research and to express your ideas clearly in an academic format. In the final Capstone Project, all the knowledge that you’ve gained over the span of these courses will culminate into an academic research paper on an issue of your choice.

This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. Learners who complete this specialization will be prepared to take the Data Science: Statistics and Machine Learning specialization, in which they build a data product using real-world data.

The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics in Data Science: Statistics and Machine Learning.

WHAT YOU WILL LEARN

- Use R to clean, analyze, and visualize data.

- Use GitHub to manage data science projects.

- Learn how to ask the right questions, obtain data, and perform reproducible research.

- Set up R, R-Studio, Github and other useful tools

In taking the Data Science: Foundations using R Specialization, learners will complete a project at the ending of each course in this specialization. Projects include installing tools, programming in R, cleaning data, performing analyses, as well as peer review assignments.

This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high-quality websites that, work seamlessly on a mobile, tablet, and large screen browsers accessible. During the capstone, you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.

WHAT YOU WILL LEARN

- Add interactivity to web pages with Javascript

- Use the Document Object Model (DOM) to modify pages

- Describe the basics of Cascading Style Sheets (CSS3)

- Apply a responsive design to enable the page to be viewed by various devices

This Professional Certificate is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. Through these eight online courses, you will dive into the role of a data analyst or data scientist and develop the essential skills you need to work with a range of data sources and apply powerful tools, including Excel, Cognos Analytics, and the R programming language, towards becoming a data-driven practitioner and gaining a competitive edge in the job market.

By the end of this Professional Certificate, you will be able to explain the data analyst and data scientist roles. You will work with Excel spreadsheets and utilize them for data analysis to create charts and plots. You will utilize Cognos Analytics to create interactive dashboards. You will work with relational databases and query data using SQL statements. You will use the R programming language to complete the entire data analysis process - including data preparation, statistical analysis, data visualization, predictive modeling, and creating interactive data applications. You will also communicate your data findings and learn to prepare a report for stakeholders.

This program is suitable for anyone with a passion for learning and does not require any prior data analysis, statistics, or programming experience.

WHAT YOU WILL LEARN

- Utilize Excel spreadsheets to perform a variety of data analysis tasks like data wrangling, using pivot tables, data mining, & creating charts

- Create relational databases and tables, query data, sort, filter, and aggregate result sets using SQL and R from JupyterLab

- Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling, using R, R Studio, and Jupyter

- Communicate your data findings using various data visualization techniques including, charts, plots & interactive dashboards with Cognos and R Shiny

Throughout this Professional Certificate, you will complete hands-on labs and projects to help you gain practical experience with Excel, Cognos Analytics, SQL, and the R programing language and related libraries for data science, including Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.

In the final course in this Professional Certificate, you will complete a capstone project that applies what you have learned to a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets.

Google Cloud Professional Data Engineer certification was ranked #1 on Global Knowledge's list of 15 top-paying certifications in 2021! Enroll now to prepare!

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87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.

Here's what you have to do

1) Complete the Coursera Data Engineering Professional Certificate

2) Review other recommended resources for the Google Cloud Professional Data Engineer certification exam

3) Review the Professional Data Engineer exam guide

4) Complete Professional Data Engineer sample questions

5) Register for the Google Cloud certification exam (remotely or at a test center)

WHAT YOU WILL LEARN

- Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.

- Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.

- Employ BigQuery to carry out interactive data analysis.

- Choose between different data processing products on Google Cloud.

This professional certificate incorporates hands-on labs using Qwiklabs platform. These hands-on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.

Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer.

This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions.

Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions.

In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.

WHAT YOU WILL LEARN

- Understand the definition of AI, its applications and use cases, and explain terms like machine learning, deep learning, and neural networks 

- Build AI-powered solutions using IBM Watson AI services, APIs, and Python with minimal coding 

- Create AI chatbots and virtual assistants without any programming and deploy them on a website 

- Apply computer vision techniques using Python, OpenCV, & Watson and develop custom image classification models and deploy them to the Cloud 

This Professional Certificate contains a number of hands-on learning projects that will help develop your understanding of AI concepts and tools. Projects include building your own AI chatbot; practicing Python for data science; building, training, and testing your own custom image classifiers; and creating your own computer vision web application and deploying it to the Cloud.

This specialization introduces blockchain, a revolutionary technology that enables peer-to-peer transfer of digital assets without any intermediaries, and is predicted to be just as impactful as the Internet. More specifically, it prepares learners to program on the Ethereum blockchain. The four courses provide learners with (i) an understanding and working knowledge of foundational blockchain concepts, (ii) a skill set for designing and implementing smart contracts, (iii) methods for developing decentralized applications on the blockchain, and (iv) information about the ongoing specific industry-wide blockchain frameworks.

The specialization covers a range of essential topics, from the cryptographic underpinnings of blockchain technology to enabling decentralized applications on a private Ethereum blockchain platform.

It is ideal for programmers and designers involved in developing and implementing blockchain applications, and anyone who is interested in understanding its potential.

WHAT YOU WILL LEARN

- Understand smart contracts, a core idea and computational model of blockchain that enables automation, autonomy, scalability, and transparency.

- How to design and program smart contracts and decentralized applications.

- Have an understanding and working knowledge of the emerging blockchain technology.

- How to think of innovative application models, leveraging blockchain technology.

Learners will apply the concepts covered in the courses to deploy an instance of a blockchain and carry out peer-to-peer transactions, program and test smart contracts using Solidity language; and analyze, design and code a blockchain-based solution for decentralized applications.

This Professional Certificate is for anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position. Throughout the self-paced online courses, you will immerse yourself in the role of a data engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, and manage structured and unstructured data. By the end of this Professional Certificate, you will be able to explain and perform the key tasks required in a data engineering role. You will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You will work with Relational Databases (RDBMS) and query data using SQL statements. You will use NoSQL databases and unstructured data. You will be introduced to Big Data and work with Big Data engines like Hadoop and Spark. You will gain experience with creating Data Warehouses and utilize Business Intelligence tools to analyze and extract insights. Each course includes numerous hands-on labs & projects to apply the concepts and skills you learn. The program will culminate in a Capstone Project where you will bring together all of these skills to develop and implement an entire data platform with various data repositories and pipelines to address a real-world inspired data analytics problem. This program does not require any prior data engineering, or programming experience. Throughout this Professional Certificate, you will complete hands-on labs and projects to help you gain practical experience with Python, SQL, Relational Databases, NoSQL Databases, Apache Spark, building a data pipeline, managing a database and working with data in a data warehouse. In the final course in this Professional Certificate, you will complete a Capstone Project that applies what you have learned to a real-world inspired scenario that requires you to design, deploy and manage an end-to-end data engineering platform consisting of various Relational (Transactional Data Warehousing), NoSQL & Big Data repositories as well as data piplelines to connect them.

This Specialization is an introduction to the fascinating world of Supply Chain Management. When you complete the program you'll have a richer understanding of the complexities that companies are facing in today's global networked economy.

The Specialization is for you, if:

1. you're looking to start a career in Supply Chain Management, but lack the basic background;

2. you're working with people in Supply Chain Management and want to understand their daily challenges better;

3. you're fascinated by how the global economy is linked together by the flow of products, information, and finances.

The Supply Chain Management Specialization is made up of four basic courses in logistics, operations, planning, and sourcing, followed by a capstone course in Supply Chain Management Strategy. The Supply Chain Logistics course will cover transportation, warehousing and inventory, and logistics network design. The Supply Chain Operations course covers techniques used to optimize flow and focuses specifically on Six Sigma quality and Lean practices. In the Supply Chain Planning course, you'll master different forecasting approaches. The Supply Chain Sourcing course deals with different techniques that help you create lasting and productive supplier relationships. Finally, in the capstone course on Supply Chain Management Strategy, you'll solve a real-life business case.

Interested in learning advanced supply chain topics? View the Supply Chain Excellence MasterTrack™ Certificate.