mercredi 26 janvier 2022

The Complete Mailchimp Email Marketing Course

Learn how to use Mailchimp, grow an email subscriber list and build high quality email marketing campaigns!

Description

If you want to be successful with Email Marketing you will LOVE this Udemy course! You will learn the principles and strategies that work for us and that we have used to build Email Marketing campaigns for over 500 businesses successfully! Join this course today to master Mailchimp and start to profit from building an email list!

JOIN THE 100,000+ HAPPY STUDENTS I HAVE TAUGHT AND CONSULTED ON MARKETING!

Do you want to partake in a CONSTANTLY updated Email Marketing course that teaches you everything required for successful marketing on Mailchimp from A to Z?!

Three reasons to TAKE THIS COURSE right now!

You get lifetime access to lectures.
You can ask me questions and see me respond to every single one of them thoughtfully!
What you will learn in this course is original, tested, and very detailed! Master the platform Mailchimp and learn the Email Marketing strategies I implement for clients daily! This course will also layout how to optimize your email content, continue to build your email lists and then evaluate key metrics from the data Mailchimp provides. Make the most of your email marketing and make it easy, so you can get back to what you do best, running your business!

In this course, you will learn Email Marketing from beginner level to advanced on Mailchimp!

You will be able to be able to build squeeze pages and sign up/opt in forms to grow your email lists and increase your potential customers. You will be able to create hyper segmented email capture lists for more effective, targeted email marketing in the future. You will be able to build and design professional email campaigns that drive higher conversions. You will be able to A/B split test emails and analyze the proper data to make your next email even better! Join this course now to learn how to take your brand, product or service to the next level with the power of Email Marketing!

TAKE A STEP IN THE RIGHT DIRECTION WITH YOUR LIFE AND LEARN HOW EMAIL MARKETING WILL MAKE YOUR BUSINESSES A HOUSEHOLD NAME!

About This Class

This class isn't for hedge fund managers, capital investors, or bankers. This is a class designed for the average person who is ready to start a business.

Are you ready to get started? Do you have a business idea, and want to start with the basics? In this course, we will focus on the first steps of any business venture: Startup. We will use the real-world experiences of the award-winning instructor and university professor Dr. Jason Allen. But don't be worried - Dr. Allen is best known around campus for keeping things simple, accessible, and useful.

Dr. Allen is the founder of a number of successful businesses and is a top-rated Skillshare instructor. In 2017 Star Tribune Business featured him as a "Mover and a Shaker," and he is recognized by the Grammy Foundation for his music education classes.

While a lot of business courses focus on getting rich quick, this is a course for those interested in starting and building a long-term business with a firm foundation. You won't find "get rich quick" schemes here - everything we will learn in this class is practical, useable steps to start a business that you will be able to hand down to your grandchildren.

This is the first part of a multiple-course series.

In this course, we will focus the entire course on the steps to start a business. First, we will focus on the advantages and concerns of new businesses. Next, we will walk through the different types of businesses - from corporations to family businesses, to nonprofit organizations. Most importantly, we will learn what is best for your business, and walk through the step-by-step process to set up and register your business. Last, we will walk through the steps needed to create your most essential founding document: the operating agreement.

By the end of this course, if you follow along you will have your business officially created and ready to open the doors for business.

About This Class

Starting a profitable small business isn't a simple task, to be honest with you, most starting entrepreneurs don't get it right, they get distracted with all minor details that don't get profitable results and that's why they fail in business.

In this course, we will eliminate all the non-sense and non-measurable theories that don't drive any proven results and focus on six primary pillars that will get your business to profitability.

Foremost, you need to understand that the primary job of an entrepreneur is to create products and services that customers want, then sell those solutions to a buying customer and generate profit. No less, no more, it's that simple.

Therefore, you should not distract yourself with minor details that don't matter to the bottom line of your business.

This course is designed to provide you with basic working knowledge for using Excel spreadsheets for Data Analysis. It covers some of the first steps for working with spreadsheets and their usage in the process of analyzing data. It includes plenty of videos, demos, and examples for you to learn, followed by step-by-step instructions for you to apply and practice on a live spreadsheet.

Excel is an essential tool for working with data - whether for business, marketing, data analytics, or research. This course is suitable for those aspiring to take up Data Analysis or Data Science as a profession, as well as those who just want to use Excel for data analysis in their own domains. You will gain valuable experience in cleansing and wrangling data using functions and then analyze your data using techniques like filtering, sorting and creating pivot tables. This course starts with an introduction to spreadsheets like Microsoft Excel and Google Sheets and loading data from multiple formats. With this introduction you will then learn to perform some basic level data wrangling and cleansing tasks and continue to expand your knowledge of analyzing data through the use of filtering, sorting, and using pivot tables within the spreadsheet. By performing these tasks throughout the course, it will give you an understanding of how spreadsheets can be used as a data analysis tool and understand its limitations. There is a strong focus on practice and applied learning in this course. With each lab, you will gain hands-on experience in manipulating data and begin to understand the important role of spreadsheets. Clean and analyze your data faster by understanding functions in the formatting of data. You will then convert your data to a pivot table and learn its features to make your data organized and readable. The final project enables you to show off your newly acquired data analysis skills. By the end of this course you will have worked with several data sets and spreadsheets and demonstrated the basics of cleaning and analyzing data all without having to learn any code. Getting started with Excel is made easy in this course. It does not require any prior experience with spreadsheets or coding. Nor does it require downloads or installation of any software. All you need is a device with a modern web browser, and ability to create a Microsoft account to access Excel online at no-cost. However if you already have a desktop version of Excel, you can follow along quite easily as well.

This is a guided project for both beginners and professionals managing small to medium enterprises or working in the fields of business analysis & business process management.

It provides you with the initial know-how of analyzing businesses from a process view which allows you to further develop the skill needed to create solutions to your current business problems.

By the end of this project, you will be able to: analyze business processes and find solutions to existing business problems; define your business processes, their objectives and how they flow within the organizational context; identify the different process stakeholders and their roles in your business processes; and evaluate the current business from a process view, break down the problems, and find an applicable business solution.

Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This capstone project is the final part of the MicroMasters® Program Business and Operations for a Circular Bio-Economy. Interdisciplinarity is central in this part, linking the various sections in this MicroMasters Program.

About this course

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Please note: The capstone project is only accessible for ID-verified MicroMasters Program learners who successfully obtained verified certificate in all MicroMasters Program courses.

In the first three courses of the MicroMasters Program, you will learn about all the different steps in a biobased process and the business and operations aspects you should consider before choosing a certain process. In this capstone project, you will work on integrating the technological section with the business and operations sections to develop a sustainable biobased practice. The focus is on linking the various aspects into an integral research, based on literature research and applied to a practical case.

The final product in this capstone project is a written report. From a business perspective, you will write an advice for an audience of your choice, for example the executive board of a company, an investor or a governmental agency. You are free to choose the subjects you want to address in this advice. This means you get the opportunity to work on a case of your choice and receive feedback from experts in the field.

In order to find the information and publications you need, you will get tips and advice on how to do proper literature research. Along the way, you will get feedback on your proposal, draft and final report. The final report should reflect the academic research capabilities on a master's level, i.e. defining a research proposal, proper literature research, methodology, data, results and conclusions and discussion.

This introduction to statistics course examines data from the perspective of business scenarios and demonstrates how to apply this data to make better decisions.

About this course

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Statistics is a versatile discipline that has revolutionized the fields of business, engineering, medicine and pure sciences. This course is Part 1 of a 4-part series on Business Statistics, and is ideal for learners who wish to enroll in business programs. The first two courses cover topics in Descriptive Statistics, whereas the next two courses focus on Inferential Statistics.

Spreadsheets containing real data from diverse areas such as economics, finance and HR drive much of our discussions.

In Part 1, we shall be exploring multiple ways to describe these datasets, numerically as well as visually. Throughout, we shall embrace a problem-based approach to understanding the material: the primary reason to pick up a tool or a technique will be to solve a problem. Our course makes judicious use of tools.

In Part 2, we shall take up a few datasets that have over a million rows, which makes it impossible to analyze using a spreadsheet. This is a natural setting for R, an advanced statistical programming platform. The courses incorporate helpful tutorials to get learners acquainted with both the mechanisms. Parts 3 and 4 are dedicated to Inferential Statistics. In Part 3, we begin by exploring the benefits of random sampling, and apply the Central Limit Theorem to arrive at confidence intervals for important population parameters. We also learn how to formulate hypotheses for business data, and resolve them with the testing framework that we establish. Along the way, we shall compare two or more populations and draw inferences with a set of statistical tests.

You will learn all these concepts with the help of various demonstrations, which show real-life application of the concepts related to business situations.

Description

Course Overview

This course provides everything you need to get started in your career in business analysis.

Our courses focus on how analysis is performed in the real world, and they're full of examples, case studies and lessons learned from actual Business Analysts on the job.

This is a perfect first course in any business analysis curriculum.

Syllabus

1. Business Analysis

Overview of Business Analysis
Overview of Requirements
Role of the Business Analyst

2. Stakeholders

Who are they? And why do they matter?
The most common stakeholders: The project team, management, and the front line
Handling Stakeholder Conflicts

3. Life Cycles

Systems Development Life Cycles
Project Life Cycles
Product Life Cycles
Requirement Life Cycles
Seventh Morning's Requirements Development Life Cycle

4. Forming Requirements

Overview of Requirements
Attributes of Good Requirements
Types of Requirements
Requirement Sources
Gathering Requirements from Stakeholders
Common Requirements Documents

5. Transforming Requirements

Stakeholder Needs Analysis
Decomposition Analysis
Additive/Subtractive Analysis
Gap Analysis
Notations (UML & BPMN)
Flowcharts
Swim Lane Flowcharts
Entity-Relationship Diagrams
State-Transition Diagrams
Data Flow Diagrams
Use Case Modeling
Business Process Modeling

6. Finalizing Requirements

Presenting – 10 Tips
Presenting Requirements
Socializing Requirements and Gaining Acceptance
Prioritizing Requirements

7. Managing Requirements Assets

Change Control
Requirements Tools

8. Scenario

Description

THE ULTIMATE FOUNDATIONAL COURSE – LEARN THE CORE BUSINESS ANALYSIS KNOWLEDGE YOU CAN BUILD UPON AND START YOUR BUSINESS ANALYST CAREER THE RIGHT WAY.

Set yourself up for success and learn the key concepts you’ll need to thrive in your Business Analyst career!

With over 10 years working as, hiring, and managing Business Analysts, I’ve gained a lot of valuable experience and knowledge. And today, I want to share that information with you. I’ll help you take the first step in a long and productive career in business analysis.

In this course, I have condensed everything I’ve learned in all my years working in the industry into a comprehensive guide to the basic elements that make up the most important tool in any Business Analyst’s career – your foundational knowledge.

Building a successful future without a strong foundation is an impossible task…

But when you have one in place, it’ll give your career the strongest possible start, and put you in a position to take the fullest advantage of the opportunities and experiences that come your way and achieve the success you’re dreaming of!

So, whether you’re an aspiring Business Analyst or one that’s new to the role – let this course be the first step of a lucrative and satisfying career.

Course enrollment grants you lifetime access, with no expiration, to all the course lectures, activities, handouts, and quizzes. In addition, you’ll also receive 1-on-1 support for any questions or uncertainties that come up. And this all comes with a money-back guarantee. You have nothing to lose and so much to gain.

Distributive computing

Description

This course is all about big data. It’s for students with SQL experience that want to take the next step on their data journey by learning distributed computing using Apache Spark. Students will gain a thorough understanding of this open-source standard for working with large datasets. Students will gain an understanding of the fundamentals of data analysis using SQL on Spark, setting the foundation for how to combine data with advanced analytics at scale and in production environments. The four modules build on one another and by the end of the course you will understand: the Spark architecture, queries within Spark, common ways to optimize Spark SQL, and how to build reliable data pipelines.

The first module introduces Spark and the Databricks environment including how Spark distributes computation and Spark SQL. Module 2 covers the core concepts of Spark such as storage vs. compute, caching, partitions, and troubleshooting performance issues via the Spark UI. It also covers new features in Apache Spark 3.x such as Adaptive Query Execution. The third module focuses on Engineering Data Pipelines including connecting to databases, schemas and data types, file formats, and writing reliable data. The final module covers data lakes, data warehouses, and lakehouses. Students build production grade data pipelines by combining Spark with the open-source project Delta Lake. By the end of this course, students will hone their SQL and distributed computing skills to become more adept at advanced analysis and to set the stage for transitioning to more advanced analytics as Data Scientists.

Description

Have you always wanted to build software that reaches millions of users and impact people's lives?

Have you been wondering how modern companies

· Handle massive amount of internet traffic and transactions?

· Securely store billions of our photos, videos and other data?

· Provide impeccable user experience and high performance 24/7 all around the globe?

Then you are in the perfect place!

In this course you will:

· Master the theory of Distributed Systems, Distributed Computing and modern Software Architecture

· Gain the practical skills necessary to build Distributed Applications and Parallel Algorithms, focusing on Java based technologies

· Deploy groups of distributed Java applications on the Cloud

· Scale Distributed Databases to store petabytes of data

· Build Highly Scalable and Fault Tolerant Distributed Systems

Along the way you will learn modern technologies like:

· Apache Kafka

· Apache Zookeeper

· MongoDB

· HAProxy

· Google Cloud Platform

· JSON

· Java HTTP Server and Client

· Protocol Buffers

· Google Cloud Platform

· And many others

By the end of the course you will:

· Apply best practices for building and architecting real-life Distributed Systems

· Scale your Distributed System to handle billions of transactions per day

· Deploy your distributed application on the Cloud

· Choose the right technologies for your use case and Software Architecture

· Use modern Java based techniques to store and handle large amounts of data

Cloud computing and virtualization

“

- Cloud computing refers to the use of a collection of remote servers, connected via computer networks and available through the internet. Virtualization is what implements cloud computing. It blurs the boundaries between physical computers by allowing multiple logical machines to be created on one hardware platform, like a server. These two things in conjunction play such an important role in making data science applications possible. Let's explore why. A large number of organizations today still use their local servers but many of them have already migrated to the cloud computing model due to its more economically-efficient nature. Why is cloud computing cheaper? Well, that's partially due to economies of scale. Basically, what that means is that more volume leads to more savings. You see, cloud computing companies specialize in managing server farms. That means they're handling a lot of volume. They're distributing their fixed costs over more services. They have their know-how in…

Course details

Machine learning is one of the liveliest areas in artificial intelligence. Machine learning algorithms allow computers to learn new things without being programmed. They use statistics as a way to better understand the massive amounts of data that we create every day. These newer algorithms help machines classify images, sounds, and videos. They can answer our questions, discover new drugs, and even write songs. In this course, we review the definition and types of machine learning: supervised, unsupervised, and reinforcement. Then you can see how to use popular algorithms such as decision trees, clustering, and regression analysis to see patterns in your massive data sets. Finally you can learn about some of the pitfalls when starting out with machine learning.

Description

Computer Science is a topic that is becoming more and more relevant. Whether in college, school or at work. Computers and computer programs are everywhere in our everyday lives. We use software in smartphones, ATMs and even household appliances that we are able to control with our smartphones. A lot of people are confused and don't really know how all of this actually works

This compact course will take you from zero knowledge to having a solid understanding of the basic concepts of computer science and programming languages.
To keep the course interesting and entertaining, we use a lot of examples to explain the individual topics. Amongst many other things we will learn about the importance of algorithms and how we can create one and why they are incredibly important. We will also learn about different approaches to programming such as imperative, declarative and object oriented programming. We're going to give you real world examples outside of code and computer programs to make sure everybody is able to understand what we are talking about.

At the end of this course you will have a fundamental understanding of the most important concepts of computer science and programming and can try your luck on an easy test exercise. The course also contains a kind of glossary where we've listed definitions and explanations for the most important terms so you always have them at your fingertips.

So if you always wanted to know how computers actually work, what a programmer does and how we are using computers to develop our own programs join us in this course!

Who this course is for:

· Programming Beginners

· People who are interested in the topic of Computer Science and Programming

Description

Master the Theory to Becoming a Good Programmer!

If you're looking to learn the theory that makes great programmers, you've come to the right place! This course is perfect for anyone interested in learning the fundamentals to Computer Science Theory.

No Previous Experience Necessary!

Computer science and technology are often thought of as things only for "analytical minds". I believe however that technology and it's theory are for everyone. So I designed this course to teach each topic in a variety of easy to digest ways. Through these multiple reinforcing steps, I believe anyone can follow along and succeed!

Why is the Theory of Programming Important?

Understanding Computer Science theory is what sets apart Great programmers from average ones. Programming theory is something that transcends a single programming language. It gives you skills and techniques you can apply to any programming language you touch. Learning the theory behind programming is just as important, if not more important than learning a singular programming language like Java or C++.

Programming is all about problem solving. Analyzing a problem, and being able to figure out a way that a computer can help with that problem. Computer Science is the practice of this analysis process. It goes over the techniques and knowledge necessary to design efficient and sustainable code.

So if you want to begin setting yourself apart from the average programmers, this is the course for you!

Enroll Now and you'll Learn:

Binary Number System
N Notation
Big O Notation
How to Analyze a Program
Arrays and their Advantages
Nodes and their Importance
Linked Lists and their Advantages and Implementations
Stacks implemented with Arrays and Linked Lists
Queues Implemented with Arrays and Linked Lists
Various Sorting Algorithms and Their Comparisions
Trees and Binary Search Trees
And Much Much More!

My Guarantee

I am so confident you will enjoy this course, I offer a 100% 30-day money-back guarantee through Udemy. If you are not happy with your purchase, I have no problem with giving your money back!

Are You Ready to Get Started?

I will be waiting for you inside the course!

Remember, this is an online course, so you can take it at your own pace. Are you busy right now? That's okay. Enroll today, and take the course at your own pace.

Thanks so much for your interest in this Computer Science 101 Course!

See you inside!

Kurt

Who this course is for:

· Anyone who wants to become a Good Programmer

· Anyone interested in the Computer Science Discipline

· Anyone who wants to learn how to problem solve like a Computer Scientist

mercredi 26 janvier 2022

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dimanche 23 janvier 2022

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Cloud computing and virtualization

Course details

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