Deriving insights from data and communicating findings has become an increasingly important part of virtually every profession. This Specialization prepares you for this data-driven transformation by teaching you the core principles of data analysis and visualization and by giving you the tools and hands-on practice to communicate the results of your data discoveries effectively.

You will be introduced to the modern data ecosystem, consisting of databases and other data sources within and outside your organization. You will learn the skills required to successfully start data analysis tasks by becoming familiar with spreadsheets like Excel. You will examine different data sets, load them into the spreadsheet, and employ techniques like summarization, sorting, filtering, & creating pivot tables.

Creating stunning visualizations is a critical part of communicating your data analysis results. You will use Excel spreadsheets to create the many different types of data visualizations such as line plots, bar charts, and pie charts. You will also create advanced visualizations such as treemaps, scatter charts & map charts. You will then build interactive dashboards quickly and easily with IBM Cognos Analytics.

This Specialization is designed for learners interested in starting a career in the field of Data or Business Analytics, as well as those in other professions, who need basic data analysis and visualization skills to supplement their primary job tasks. The courses in this program include lots of hands-on labs and projects to help you gain practical experience. And you only require a modern web browser to complete these courses and practical exercises. No need to download or install anything on your device.

WHAT YOU WILL LEARN

- Describe the data ecosystem, tasks a Data Analyst performs, as well as skills and tools required for successful data analysis

- List various types of charts and plots and create them in Excel as well as work with Cognos Analytics to generate interactive dashboards

- Explain the basic functionality of spreadsheets and utilize Excel to perform a variety of data analysis tasks like data wrangling and data mining

- Explain what Data Analytics is and the key steps in the Data Analytics process. 

The courses in this program include lots of hands-on labs and projects to help you gain practical experience. And you only require a modern web browser to complete these courses and practical exercises. No need to download or install anything on your device.

This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You'll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands-on examples and programming assignments, you'll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.

WHAT YOU WILL LEARN

- Write purely functional programs using recursion, pattern matching, and higher-order functions

- Write programs that effectively use parallel collections to achieve performance

- Design immutable data structures

- Manipulate data with Spark and Scala

Learners will build small to medium size Scala applications by applying knowledge and skills including functional programming, parallel programming, manipulation of large data sets, higher-order functions, property-based testing, and functional reactive programming.

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions, and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, and Multiple Comparisons.

There are a growing number of exciting, well-paying jobs in today’s security industry that do not require a traditional college degree. Forbes estimates that there will be as many as 3.5 million unfilled positions in the industry worldwide by 2021! One position with a severe shortage of skills is as a junior cybersecurity analyst.

Throughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyberattacks, and the basics of networking. You will also gain knowledge about important topics such as cryptography and digital forensics.

The instructors are architects, Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day-to-day lives at IBM with a worldwide perspective. They will share the skills that they need to secure IBM and its client's security systems.

The completion of this specialization also makes you eligible to earn the IT Fundamentals for Cybersecurity IBM digital badge. More information about the badge can be found here:

https://www.youracclaim.com/org/ibm/badge/cybersecurity-it-fundamentals-specialist

WHAT YOU WILL LEARN

- Discuss the evolution of security based on historical events.

- Describe key cybersecurity concepts including the CIA Triad, access management, incident response, and common cybersecurity best practices.

- List various types of malicious software.

- Identify key cybersecurity tools which include the following:  firewall, anti-virus, cryptography, penetration testing, and digital forensics.

This specialization will provide you with the basics you need to get started. Throughout this specialization, you will learn concepts around cybersecurity tools and processes, system administration, operating system and database vulnerabilities, types of cyberattacks, and the basics of networking. You will also gain knowledge about important topics such as cryptography and digital forensics.

This specialization is truly an international offering from IBM with experts from the United States, Costa Rica, Canada, and Italy. These instructors are architects, Security Operation Center (SOC) analysts, and distinguished engineers who work with cybersecurity in their day-to-day lives at IBM. They will share the skills that they need to secure IBM and its client's security systems.

Learners will apply the skills they acquire to complete assessment exams as well as a project at the end of the four courses within this specialization.

Growing a business needs a dynamic set of skills, ranging from leadership, employee management, strategy, planning, finance, accounting, ethics, accountability, and profitability.

Developed at the Darden School of Business at the University of Virginia, and led by top-ranked Darden faculty, this specialization covers challenges faced by private businesses when they attempt to grow substantially. It starts with common challenges and human resource issues faced by private business. It then teaches you essential financial accounting skills for entrepreneurs, such as creating and interpreting cash flow, balance sheet, and income statements to make financial health conclusions.

This specialization also presents an exciting new approach to values-driven leadership development in the workplace, in business education, and in life. In an action-oriented introduction to Giving Voice to Values (GVV), it is not about persuading people to be more ethical, but instead starts from the premise that most of us already want to act on our values, and we feel that we have a reasonable chance of doing so effectively. It then discusses the emergence of a new story about business, contextualizing it within a societal framework. Finally, it teaches you to write innovative business plans, by driving meaningful focus, forcing specificity, and bringing linkages between key business drivers to the foreground.

WHAT YOU WILL LEARN

- Four ways to grow your business: scale and CVP, innovating, outsourcing and strategic acquisitions

- A toolkit for voicing and enacting your values and principles

- How to use journal entries to record transactions and prepare and use t-accounts to summarize transactions recorded during an accounting period

- How to apply innovation tools from the worlds of design thinking and Lean Startup to your business model design

Learners will go from implementing financial accounting applications to an action-oriented introduction to Giving Voice to Values (GVV) to writing innovative business plans, over the course of this specialization. Specifically, you’ll use journal entries to record transactions and prepare and use t-accounts to summarize transactions recorded during an accounting period, as well as create an explicit view of a company or product strategy in 20 minutes!

Perhaps the most important thing students and professionals of all kinds can do to improve their effectiveness is embrace the following advice: become good with words. This series of courses targets the writing side of that recommendation. The skills it focuses on include everything from how to arrange a complex set of information in a reader-friendly way, to how to give and receive high-quality feedback, to how to consistently hit deadlines. Part of Professor Barry’s proceeds from this course will be donated to the COVID-19 relief efforts of Ozone House, a shelter for homeless youth in Southeastern Michigan where he regularly conducts job-training workshops. These proceeds come from purchases of the version of the course that earns you a certificate. The course remains free for anyone who is simply auditing.

In this Software Product Management Specialization, you will master Agile software management practices to lead a team of developers and interact with clients. In the final Capstone Project, you will practice and apply management techniques to realistic scenarios that you will face as a Software Product Manager. You will have the opportunity to share your experiences and learn from the insights of others as part of a Software Product Management

WHAT YOU WILL LEARN

- Master Agile software development practices.

- Practice and apply management techniques to industry-inspired scenarios.

- Confidently interact with clients and manage a team of developers.

- Share your experiences and learn from the insights of others as part of a software product management community.

You will gain practical management experience in a safe, simulated software production setting. You will apply agile practices and techniques to conquer industry-inspired challenges. Interacting with a realistic client, you will discern what they want, and what they truly need, and express that as software requirements to drive software production. Upon completing the capstone, you will be prepared to advance your career as a confident software product management professional.

This program provides the skills you need to advance your career in cloud architecture and provides a pathway to earn the industry-recognized Google Cloud Associate Cloud Engineer certification. Through a combination of presentations, demos, and labs, you'll explore and deploy solution elements, including infrastructure components such as networks, systems and applications services; and you'll gain real-world experience through a number of hands-on Qwiklabs projects that you can share with potential employers.

You'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud. For learners looking to get certified, this program will also provide sample questions similar to those on the exam, including solutions and practice exam quizzes that simulates the exam-taking experience.

Upon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers. If you'd like to earn your Google Cloud certification, you will need to register for and pass the certification exam. Please note that this program helps equip you with the skills you need to take the certification exam, but the certification and certification fee is not included in the cost of this training program.

WHAT YOU WILL LEARN

- Learn the skills needed to be successful in a cloud engineering role

- Learn about the infrastructure and platform services provided by Google Cloud Platform

- Prepare for the Associate Cloud Engineer certification

- Identify the purpose and value of Google Cloud products and services.

This professional certificate incorporates hands-on labs using our Qwiklabs platform.

These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

Integrate UX Research and UX Design to create great products through understanding user needs, rapidly generating prototypes, and evaluating design concepts. Learners will gain hands-on experience with taking a product from initial concept, through user research, ideation and refinement, formal analysis, prototyping, and user testing, applying perspectives and methods to ensure a great user experience at every step. This Coursera specialization in UX Research and UX Design concludes with a capstone project, in which learners will incorporate UX Research and Design principles to design a complete product, taking it from an initial concept to an interactive prototype.

This action-packed Specialization is for data science enthusiasts who want to acquire practical skills for real-world data problems. If you’re interested in pursuing a career in data science, and already have foundational skills or have completed the Introduction to Data Science Specialization, this program is for you!

This 4-course Specialization will give you the tools you need to analyze data and make data-driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision-making.

Through guided lectures, labs, and projects in the IBM Cloud, you’ll get hands-on experience tackling interesting data problems from start to finish. Take this Specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.

In addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing you as a specialist in applied data science.

This Specialization can also be applied to the IBM Data Science Professional Certificate.

WHAT YOU WILL LEARN

- Develop an understanding of Python fundamentals

- Communicate data insights effectively through data visualizations

- Gain practical Python skills and apply them to data analysis

- Create a project demonstrating your understanding of applied data science techniques and tools

Complete hands-on labs and projects in the IBM Cloud by applying your newly acquired skills and knowledge throughout the Specialization. Projects include creating a random album generator, building a machine learning model, and analyzing geospatial data.