The Applied Data Science course from Hitachi Vantara is centered on the business-led application of data science. It includes insider learnings from successful customer projects across a diverse range of industries.The Business Track covers the business-led aspects of data science, is not too technical, and is required for all students.
The aim of this course is to increase the number of “citizens of data science”, who will understand these imperatives and drive the necessary change from
within. It will also be a launch-pad for those that do want to continue towards a career in data science.This course is effectively two in one. The Business Track covers the business-led aspects of data science, is not too technical, and is required for all students. The
Technical Track (shown as STEM – Science, Technology, Engineering and Maths) adds hands-on technical training.
We all know Excel is essential for any business. Some of the advanced Excel functions allow business organizations to increase their productivity and performance by easily sorting and filtering relevant information and using it for better decision making.
When efficiently applied it is a powerful tool for manipulating vast amounts of data, automate tasks and present complex information however you see fit. Some of the most important advanced Excel functions include date and time function, lookup and reference function, statistical and logical function, data validation and text function, pivot charts and tables, multidimensional analysis, advanced dashboard, etc.
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of Computer Programs that can change when exposed to new data. Python community has developed many modules to help programmers implement machine learning. This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You will learn about Supervised vs Unsupervised Learning, investigate how Statistical Modeling relates to Machine Learning, and do a comparison of each. You will be exposed to some of the real-life examples of Machine Learning and how it affects society
Do you want to start your career as a Data Scientist, but don’t know where to start? This course is for you. It’s been said that Data Scientist is the “Most demanded Job of the 21st century”. Why? Because over the past few years, companies have been storing their data and this being done by each company, it has suddenly led to data explosion. Data has become the most abundant thing today.
Machine Learning automates the data analysis process and allows computers to learn and adapt through experience. Trans Neuron’s Machine Learning course will make you proficient in the techniques and concepts involved in Machine Learning. These concepts include mathematical and heuristic aspects, supervised and unsupervised learning and hands-on modelling to develop algorithms. With these concepts, you can be well-prepared for the role of a Machine Learning Engineer.
Machine Learning is a wide area of Artificial Intelligence focused
on the design and development of an algorithm that identifies and learn
patterns exist in data provided as input. Natural language generation (NLG)
refers to the production of natural language text or speech by a computer. In
this instructor-led, live training, participants will learn how to use Python
to produce high-quality natural language text by building their own NLG system.
In this course, you will get an overview of how humongous amounts of data is
being generated, how to draw meaningful business insights, techniques used to
analyze structured and unstructured data, latest machine learning algorithms
used to build advanced prediction models and how to visualize data. All these
are learned from the perspective of solving complex business problems and
making organizations profitable.
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. It covers a detailed overview of Machine Learning algorithms and techniques such as regression, classification, time series modelling, supervised and unsupervised learning, Natural Language Processing, etc. You will also use Python to write code for implementing Machine Learning algorithms in this Machine Learning certification training.
Edureka is the accredited training partner of Automation Anywhere. Edureka’s Robotic Process Automation training using Automation Anywhere will help you gain expertise in Automation Anywhere Enterprise Platform and will prepare you for the Automation Anywhere Certified Advanced RPA Professional Certification Exam. Throughout the training, you will create and monitor intelligent virtual Bots and get an in-depth knowledge of web automation, managing data using commands, defining cutom roles and set privileges, handling exceptions, perform text and image automation, using real-life case studies.
Edureka’s Python Programming Certification Course will help you master important Python programming concepts such as Data Operations, File Operations, Object-Oriented concepts, and various Python libraries such as Pandas, Numpy, Matplotlib and many more. You will learn Data Visualization and techniques to deal with different types of data – ordinal, categorical, encoding. This course makes you industry-ready by working on real-life case-studies and equipping you with relevant concepts.
Python Scripting allows programmers to build applications easily and rapidly. This course is an introduction to Python scripting, which focuses on the concepts of Python. It will help you to perform operations on variable types using Pycharm. You will learn the importance of Python in real time environment and will be able to develop applications based on Object-Oriented Programming concept. End of this course, you will be able to develop networking applications with suitable GUI.
In this course, you will be introduced to Reinforcement Learning, an area of Machine Learning. You will learn the Markov Decision Processes, Bandit Algorithms, Dynamic Programming, and Temporal Difference (TD) methods. You will be introduced to Value function, Bellman Equation, and Value iteration. You will also learn Policy Gradient methods. You will learn to make decisions in uncertain environment.
Edureka's Robotic Process Automation training using UiPath will prepare you for UiPath's RPA Developer Advanced Certification Exam so that you can drive RPA initiatives in your organization. You will master the key concepts while designing an RPA solution using UiPath, perform Image and Text automation, create RPA Bots, perform Data Manipulation, handle exceptions and build a solution using REFramework using real-life case studies. Master RPA with Edureka and secure high-paying RPA jobs.
AI became a catch-all term that refers to any computer program that automatically does something. Many people make referrals to AI without actually knowing what it really means. There is public debate on whether it is an evil or savior for humanity. Thus this is yet another attempt to compile & explain the introductory AI/ML concepts to go beyond this buzz for non-practitioners and curious peopleHuman beings are at a new era of technology, and this era is influenced by Artificial Intelligence, Machine Learning, and Deep Learning. It is true that people are mixing up these three terms. However, these terms lie in a hierarchy and can have different applications. So, in this blog, we will look at Artificial Intelligence vs Machine Learning and Deep Learning vs Machine Learning, compare all the three terms as Artificial Intelligence vs Machine Learning vs Deep Learning, and understand these terms in detail.
This course introduces the fundamentals of artificial
intelligence. It contains a theory component about the concepts and principles
that underlie modern AI algorithms, and a practice component to relate
theoretical principles with practical implementation. The course divides into
four parts. The first part of the course discusses search algorithms. The second
part of the course discusses probability as a mathematical tool, Bayesian
networks and hidden Markov models. The third part of the course overviews
machine learning algorithms both supervised and unsupervised. An introduction
to learning by reinforcement is included as well. The last part concerns logic
and planning algorithms such as value iteration for MDP. Along the course we
highlight application domains such as robotics (e.g. particle filters for
perception) and natural language processing. The objective is to give an
overall idea about the field without delving into advanced details whenever
This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice.
This course covers the advances in the techniques developed for algorithmic trading and financial analysis based on the recent breakthroughs in machine learning. We leverage the classic techniques widely used and applied by financial data scientists to equip you with the necessary concepts and modern tools to reach a common ground with financial professionals and conquer your next interview.
video course is built for those with a basic understanding of artificial
intelligence, introducing them to advanced artificial intelligence projects as
they go ahead. The first project introduces natural language processing
including part-of-speech tagging and named entity extraction. Wikipedia
articles are used to demonstrate the extraction of keywords, and the Enron
email archive is mined for mentions and relationships of people, places, and
organizations. The spaCy library is used.
We shouldn't live in fear of our code. Long-term customer satisfaction, product agility, and developer happiness are crucial. A quality suite of automated tests helps achieve this. This practical course covers how and what to test at the unit, integration, and functional UI levels; and how to bring them all together with continuous integration build server.
Edureka's Manual Testing Certification Training is designed to master on how to develop Test Cases and Scenarios which may be Specification-based (Black-Box Techniques) or Experience-based (Error Guessing Techniques) and ensuring Configuration Management, Risk Management and Defect Management.
This course will introduce the Java users to Selenium WebDriver. It will help users with basic programming knowledge to start with code testing.This course will help the users to cut down on their time spent on testing code written in Java.
This course will use the Postman testing tool to teach you API testing. You will use Postman to find bugs and aid in efficient API development. Create requests and building simple workflows with Postman. Additionally, it will show you how to set up test suites in Postman that can be re-used for regression testing as a project grows.
Interested in “business side” of projects? Then you are fit to aspire for a Certified Scrum Product Owner® (CSPO®) certification. As a CSPO, you create the Product Vision, manage the Product Backlog, and make sure customer delight is achieved by high delivery standards. BeniftsExpand your career opportunities across all industry sectors adopting Agile practicesDemonstrate your attainment of core Scrum knowledgeLearn the foundation of Scrum and the scope of the Product Owner roleEngage with Agile practitioners committed to continuous improvement
The Certified Scrum Master(CSM) Training provides a comprehensive overview of the Scrum framework for agile project management and will prepare you to become a certified ScrumMaster. You’ll learn the basics of Scrum and the Scrum lifecycle, how to organize a Scrum team and set up a project, and how to implement a Scrum, from releases and sprints to enterprise transformation. This two-day classroom training will open new career opportunities for you in multiple industry sectors. Along with this course you would also get access to 3 free complimentary courses which are:Microsoft Project TrainingSix Sigma Green Belt Certification TrainingCloud Fundamentals
PMI-ACP® is one of the fastest-growing certifications in the domain of project management and organizations are embracing “Agile” to be competitive in the everchanging market dynamics. Gaining the PMI-ACP® certification increases your adaptability in Agile technologies that will increase team productivity. Edureka’s PMI-ACP® Exam preparation course is designed to help your journey towards attaining this globally renowned certificate and beyond.
Edureka's Digital Marketing online training will help you gain expertise in various digital Media aspects like Keyword Planning, SEO, Social Media Marketing, Search Engine Marketing, Email Marketing, Affiliate Marketing and Google Analytics.
Edureka's Salesforce Platform Developer 1 Certification Training is designed to make you an expert in writing business logic and customizing applications programmatically using Apex code and Visualforce UI framework on the Force.com platform. It will help you prepare for Salesforce Dev 450 Certification.
Edureka's Digital Marketing training is suitable for freshers or any Middle & Senior Managers, this course will provide a strategic understanding of Digital Marketing. The participants will learn how Digital Marketing impacts brand & Sales, Best practices in Digital Marketing, tools & techniques. This course will also cover planning, Budgeting, Reporting and Tracking mechanisms for Digital Marketing. Attendees will also get to implement one project as they work through the Training.
Salesforce Admin Certification online training by edureka will help you to become an expert by mastering topics such as identify different Salesforce building blocks, Data model, Security model, Automation options, Sales Cloud and Service Cloud modules, Reports and Dashboard.
Edureka's Salesforce Certification Training course will help you pass the Salesforce Administrator Exam (ADM 201) and the Salesforce App Builder (DEV 401) Exam. Concepts on Force.com Platform, AppExchange, SFDC Security Model, Service Cloud, Sales Cloud, Lightning App Builder, Salesforce Reports & Dashboard can be mastered in this Salesforce Training course.
Cybersecurity has become an important term in this world driven by technology. Every industry is becoming more and more reliant on Cybersecurity. There is a huge demand for people who are skilled in Cybersecurity. This Cybersecurity Pack covers 6 most in-demand Cybersecurity Trending Courses.
Digital Forensics and Cyber Crime introduces you to the world of digital forensics and acts as a primer for your future forensic work. This is a fundamentals course with a focus on the average network engineer, so you don’t need to be an IT expert to follow most of the concepts. Learn when a breach occurs, what actions you can take, and how to learn from the breach to prevent future attacks. This video course focuses on using open source technology available in the Kali Linux framework along with other tools to simplify forensic tasks. You will master the basics of digital forensics, learn best practices, and explore legal and forensic service concepts.
Setting up an ISMS can be as simple or as sophisticated as your organization needs it to be. However, even knowing where to start when considering setting up an ISMS can be challenging. In this course, our expert will explain the requirements of the current standard to help you understand how it could apply to your organization and the potential benefits of adopting it. You will therefore be better prepared to carry out an implementation of an ISMS that conforms to the current standard, as the background, updated concepts, principles, terms and definitions used in ISO/IEC 27001:2013 are fully explained and discussed. The requirements course will also help you understand how the standard works in preparation for attending the internal and lead auditing training courses.
The Cybersecurity: Managing Risk in the Information Age online short course, from Harvard’s Office of the Vice Provost for Advances in Learning (VPAL), in association with HarvardX, equips you with a comprehensive understanding of how to identify and manage operational risk, litigation risk and reputational risk. The course will help you assess and mitigate specific vulnerabilities within an organization’s networks, systems, and data. Develop the knowledge and skills to protect the integrity, security, and confidentiality of digital assets.
Security Architecture and Design is a three-part domain. The first part covers
the hardware and software required to have a secure computer system. The second
part covers the logical models required to keep the system secure, and the third part
covers evaluation models that quantify how secure the system really is.