IT Fundamentals for Cybersecurity Specialization | database vulnerabilities | IBM New Collar

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 cyber attacks and basics of networking. You will also gain knowledge around 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 their skills which they need to secure IBM and its clients 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

Want to see if this is a good career fit for you? IBM is collaborating with MyInnerGenius to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT.

Applied Learning Project

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 cyber attacks and basics of networking. You will also gain knowledge around 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 their skills which they need to secure IBM and its clients 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

 

IBM Cybersecurity Analyst Professional Certificate | information security analyst | IBM New Collar

A growing number of exciting, well-paying jobs in today’s security industry do not require a college degree. This 8-course Professional Certificate will give you the technical skills to become job-ready for a cybersecurity analyst role. Instructional content and labs will introduce you to concepts including network security, endpoint protection, incident response, threat intelligence, penetration testing, and vulnerability assessment.

Cybersecurity is one of the most in-demand career fields:

● The 2019 (ISC)² Cybersecurity Workforce Study points to a severe shortage of cybersecurity professionals. It estimates that 4 million more cybersecurity professionals are needed to defend organizations.

● CyberSeek.org, ranks Cybersecurity Analyst as second on a list of high demand job roles in low supply.

● The U.S. Bureau of Labor Statistics expects 32% hiring growth for Cybersecurity Analysts between 2018 and 2028, outpacing other roles.

This program is suitable for learners entering the workforce and professionals switching careers. You should be comfortable working with computers, be willing to develop new technical skills, enjoy collaborative problem solving, and communicating solutions.

By the end of this program, you will have completed a real-world security breach hands-on project and applied concepts through industry tool virtual labs to provide you with the confidence to start a career in cybersecurity.

Applied Learning Project

Throughout the program, you will use virtual labs and internet sites that will provide you with practical skills with applicability to real jobs that employers value, including:

Tools: e.g. Wireshark, IBM QRadar, IBM MaaS360, IBM Guardium, IBM Resilient, i2 Enterprise Insight Analysis

Labs: SecurityLearningAcademy.com

Libraries: Python

Projects: Investigate a real-world security breach identifying the attack, vulnerabilities, costs and prevention recommendations

 

IBM Applied AI Professional Certificate | Application Programming Interfaces Artificial Intelligence

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.

Applied Learning Project

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

 

Applied Data Science Specialization | Data Visualization | Predictive Modelling | Data Science

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 toward the IBM Data Science Professional Certificate.

Applied Learning Project

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

 

IBM AI Engineering Professional Certificate | Artificial Neural Network | Python Programming

 

Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and deep learning neural networks to provide data driven actionable intelligence for their businesses. This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer.

You’ll master fundamental concepts of machine learning and deep learning, including supervised and unsupervised learning, using programming languages like Python. You’ll apply popular machine learning and deep learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow to industry problems involving object recognition, computer vision, image and video processing, text analytics, natural language processing (NLP), recommender systems, and other types of classifiers.

Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.

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

Applied Learning Project

Throughout the program, you will build a portfolio of projects demonstrating your mastery of course topics. The hands-on projects will give you a practical working knowledge of Machine Learning libraries and Deep Learning frameworks such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow. You will also complete an in-depth Capstone Project, where you’ll apply your AI and Neural Network skills to a real-world challenge and demonstrate your ability to communicate project outcomes

Introduction to Data Science Specialization | Relational Database Management System | Python

Interested in learning more about data science, but don’t know where to start? This 4-course Specialization from IBM will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field.

This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions. You’ll find that you can kickstart your career path in the field without prior knowledge of computer science or programming languages: this Specialization will give you the foundation you need for more advanced learning to support your career goals.

You’ll grasp concepts like big data, statistical analysis, and relational databases, and gain familiarity with various open source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL. You'll complete hands-on labs and projects to learn the methodology involved in tackling data science problems and apply your newly acquired skills and knowledge to real world data sets.

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 data science foundations.

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

Applied Learning Project

You will utilize tools like Jupyter, GitHub, R Studio, and Watson Studio to complete hands-on labs and projects throughout the Specialization. Using new skills and knowledge gained through the program, you’ll also work with real world data sets and query them using SQL from Jupyter notebooks

 

IBM Data Science Professional Certificate | no prior knowledge of computer science or programming

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience.

It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level data scientist.

The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.

Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.

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

Applied Learning Project

This Professional Certificate has a strong emphasis on applied learning. Except for the first course, all other courses include a series of hands-on labs in the IBM Cloud that will give you practical skills with applicability to real jobs, including:

Tools: Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio

Libraries: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.

Projects: random album generator, predict housing prices, best classifier model, battle of neighborhoods

 

Cloud Engineering with Google Cloud Professional Certificate | Network Architecture | Autoscaling

About this Professional Certificate

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 training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer certification.

Your journey to Google Cloud certification:

1) Complete the Coursera Cloud Engineering Professional Certificate

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

3) Review the Associate Cloud Engineer exam guide

4) Complete Associate Cloud Engineer sample questions

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

Applied Learning Project

This professional certificate incorporates hands-on labs using our 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.

New! CERTIFICATE COMPLETION CHALLENGE from Coursera and Google Cloud

Complete the Cloud Engineering with Google Cloud or Cloud Architecture with Google Cloud Professional Certificate before November 8, 2020 to get the following benefits;

A Google Cloud t-shirt, for the first 1,000 eligible completers while supplies last

Exclusive access to Big Interview ($950 value) and career coaching

30 days free Qwiklabs ($50 value) to earn Google Cloud skill badges

Applied Learning Project

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

 

Data Engineering with Google Cloud Professional Certificate

 

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 training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer certification.

Your journey to Google Cloud certification:

1) Complete the Coursera Cloud Engineering Professional Certificate

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

3) Review the Associate Cloud Engineer exam guide

4) Complete Associate Cloud Engineer sample questions

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

Applied Learning Project

This professional certificate incorporates hands-on labs using our 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.

New! CERTIFICATE COMPLETION CHALLENGE from Coursera and Google Cloud

Complete the Cloud Engineering with Google Cloud or Cloud Architecture with Google Cloud Professional Certificate before November 8, 2020 to get the following benefits;

A Google Cloud t-shirt, for the first 1,000 eligible completers while supplies last

Exclusive access to Big Interview ($950 value) and career coaching

30 days free Qwiklabs ($50 value) to earn Google Cloud skill badges

Applied Learning Project

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 BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules

Google IT Automation with Python Professional Certificate | Setting up your Development Environment

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About this Professional Certificate

This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.

Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.

This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.

This certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.

We recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.

If you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.

Applied Learning Project

Learn how to program with Python with no previous knowledge of coding required and you’ll use Python to automate common system administration tasks

Learn to use Git and GitHub, to troubleshoot and debug complex problems

Apply automation at scale by using configuration management and the Cloud

Practice your technical skills with hands-on projects including a capstone project where you’ll use your new knowledge to solve a real-world IT problem

 

Google IT Support Professional Certificate | Lightweight Directory Access Protocol | Network Model

This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunity for all. Learn more.

Upon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.

Through a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.

Completing the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.

If you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.

Applied Learning Project

Through this Professional Certificate program you'll have access to a variety of hands-on assessments which will help you to simulate many of the experiences of IT support that are critical for success in the workplace.

Examples of virtual assessments include Assembling a Computer, Networking simulation, Writing Effective Support Documentation, Routing Paths and Subnets, Wireless Networking, Device Software Management, Public Key or Asymmetric Encryption, Incident Handling, among many other hands-on learning application

 

Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator

This course will help you be a better negotiator. Unlike many negotiation courses, we develop a framework for analyzing and shaping negotiations. This framework will allow you to make principled arguments that persuade others. It will allow you to see beneath the surface of apparent conflicts to uncover the underlying interests. You will leave the course better able to predict, interpret, and shape the behavior of those you face in competitive situations.

In this course, you will have several opportunities to negotiate with other students using case studies based on common situations in business and in life. You can get feedback on your performance and compare what you did to how others approached the same scenario. The cases also provide a setting to discuss a wide-ranging set of topics including preparing for a negotiation, making ultimatums, avoiding regret, expanding the pie, and dealing with someone who has a very different perspective on the world. Advanced topics include negotiating when you have no power, negotiating over email, and the role of gender differences in negotiation. To close out the course, we will hear insights from three negotiation experts: Linda Babcock, Herb Cohen, and John McCall MacBain.

 

Introduction to Psychology | Problem Solving | Abstract Thinking | Analytical Thinking

 

What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, persuasion, emotions, and social behavior. We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury

Financial Markets | Emphasis On Financially-Savvy Leadership Skills | Risk management And Behavioral

An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise. Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries. The ultimate goal of this course is using such industries effectively and towards a better society

 

The Science of Well-Being Course | Increase Your Own Happiness | Build More Productive Habits

In this course you will engage in a series of challenges designed to increase your own happiness and build more productive habits. As preparation for these tasks, Professor Laurie Santos reveals misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.

THE SCIENCE OF WELL BEING WAS PRODUCED IN PART DUE TO THE GENEROUS FUNDING OF THE DAVID F. SWENSEN FUND FOR INNOVATION IN TEACHING.

 

Principles of Game Design | Video Game Development | Turning That Idea Game Design Document

You have a great idea for a game. Turning that idea into a reality isn't just about knowing the tools. In this course you will practice moving from game concept through design documentation, prototyping and testing. Numerous elements go into the overall process of game design. These range from topics such as idea generation, story, character, and game world development, game mechanics and level design, and user experience design. You will explore the process for designing meaningful experiences for your players. At the end of the course learners will have produced a game's high concept document, one page blueprint, a physical prototype, pitch and supporting design documentation to move from an idea in your head to a fleshed out design, ready for implementation

 

Django Features and Libraries | User Authentication Sessions and cookies One-to-Many models

In this course, you will learn how to build Django-based web applications suitable for use by end users. You will learn about cookies, sessions, and authentication processes in Django. You will build navigation into your applications and explore ways to easily improve the look and feel of Django applications. You will begin to develop a simple application to support a classified ads website that will walk you through many of the issues and techniques that you encounter in website development. You will also learn how to move an application from development to production

 

Building Database Applications in PHP | Create, Read, Update And Delete | Hypertext Preprocessor

In this course, we'll look at the object oriented patterns available in PHP. You'll learn how to connect to a MySQL using the Portable Data Objects (PDO) library and issue SQL commands in the the PHP language. We'll also look at how PHP uses cookies and manages session data. You'll learn how PHP avoids double posting data, how flash messages are implemented, and how to use a session to log in users in web applications. We'll then build the first 'complete' application that has multiple screens to Create, Read, Update and Delete (CRUD) our data. This brings all the previous concepts together and will form the basis for all later web applications. It is assumed that learners have already taken the Building Web Applications course in this specialization

 

Applied Social Network Analysis in Python | Social Network Analysis | Graph Theory Python Programming

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.

This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python