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The market for Data Science has been growing extensively over the recent years. As a result, the position of “data scientist” has established itself as an attractive option for a career path and the competition for job opportunities is steadily increasing.To help you stay at the forefront, 365 Data Science team have conducted a study examining the state of job opportunities in data science. The data for this research come from 1,170 job offers, published across all major US states. From these, 365 Data Science has extracted information about the company offering the position, the required educational credentials and sought-after work experience, as well as the desired skills and techniques a successful data science candidate is expected to have. 365 Data Science notes that all data were extracted automatically and thus, some items may have been incorrectly labelled, assigned or overlooked. The following report analyses all intriguing findings in depth. Let’s get started. ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() If you are ready to take the first step towards your data science career, you can experience a structured training program, learn new skills, and practice for the complete set of data science responsibilities here: https://bit.ly/365-data-science-courses The post Data Science Jobs Report 2020 by 365 Data Science appeared first on Data Science PR.
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In this tutorial we are going to discuss the Poisson distribution. When we measure the occurrences of an event over a certain period of time or distance, we are often left wondering if what we observe is surprising.The Poisson Distribution helps us determine the likelihood of specific discrete outcomes based on a given historical average number of occurrences. For instance, we know that the average firefly lights up 7 times over the course of 20 seconds. With this distribution we can determine the extent to which it will be out of the norm if it lights up only 4 times during that interval. Being able to spot unusual frequencies of recurring events will help us determine whether something is worrisome or not and if we should further investigate the problem. The post Data Science Tutorial: The Poisson Distribution appeared first on Data Science PR.
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In this video, I will show you how to deploy a machine learning model (a classification model of DHFR dataset) in the R programming language by saving it to disk as a RDS file. Then, we will load back the model by reading the RDS file and make a prediction on the test dataset. The post Machine Learning in R: Deploy Machine Learning Model using RDS appeared first on Data Science PR.
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Are you just starting out data science and are looking for an introductory video on the concepts of what it takes to build a machine learning model.Look no further, in this video we cover the basic concepts of the machine learning model building process. The concept of this video first started out as a drawn infographic and is now converted to a video format. The post Data Science 101: Overview of Machine Learning Model Building Process appeared first on Data Science PR.
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Are you bored of the Iris dataset?In this video, I will be showing how you can use the Penguins dataset as an alternative to the Iris dataset for learning and teaching data science. The Penguins dataset has similar characteristics to the Iris dataset while also having its own unique strengths that will augment your learning experience. Palmer Penguins Dataset
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Wrangle and Explore Data with PANDAS-UI for Data ScienceIn this video, I will provide an overview of the pandas-ui Python library that you can use to wrangle data and perform exploratory data analysis for your data science projects. Under the hood, pandas-ui integrates several libraries including pandas, NumPy, plotly, ipywidgets, pandas_profiling and qgrid. The post Wrangle and Explore Data with PANDAS-UI for Data Science appeared first on Data Science PR.
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Have you ever wanted to build a web app for your data science project? But perhaps did not because of the extensive time needed to code the web app or intimidated by Django and flask? In this video, I will show you how to build an (intermediate level of difficulty) machine learning powered data science web app in Python using the streamlit library in a little over 100 lines of code. Particularly, we will be building a Penguins species classification web app using the Palmer Penguins dataset (4 quantitative variables and 3 qualitative variables; 1 of the qualitative variable will be used as the target variable for classification). The post Streamlit Tutorial Part 3: How to Build a Penguin Classification Web App in Python appeared first on Data Science PR.
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Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis.What you’ll learn
Requirements
Description Is statistics a driving force in the industry you want to enter? Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist? Well then, you’ve come to the right place! Statistics for Data Science and Business Analysis is here for you with TEMPLATES in Excel included! This is where you start. And it is the perfect beginning! In no time, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations. We have created a course that is:
It is no secret that a lot of these topics have been explained online. Thousands of times. However, it is next to impossible to find a structured program that gives you an understanding of why certain statistical tests are being used so often. Modern software packages and programming languages are automating most of these activities, but this course gives you something more valuable – critical thinking abilities. Computers and programming languages are like ships at sea. They are fine vessels that will carry you to the desired destination, but it is up to you, the aspiring data scientist or BI analyst, to navigate and point them in the right direction. Teaching is our passion We worked hard for over four months to create the best possible Statistics course which would deliver the most value to you. We want you to succeed, which is why the course aims to be as engaging as possible. High-quality animations, superb course materials, quiz questions, handouts and course notes, as well as a glossary with all new terms you will learn, are just some of the perks you will get by subscribing. What makes this course different from the rest of the Statistics courses out there?
Why do you need these skills?
Please bear in mind that the course comes with Udemy’s 30-day unconditional money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you. Let’s start learning together now! Who this course is for:
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How to Build a Profitable and Winning Company Using Business Analytics.What you’ll learn
Requirements
Description When can we say that a business is successful? Which are the techniques corporations use to monitor their performance? What makes for an effective analytics project? If these questions sound interesting and you want to learn about business analytics, then you’ve come to the right place. This course is an invaluable journey, in which we will layout the foundations of your superior business analytics skills. You will start developing abilities that are highly necessary in any type of business environment, but particularly so when working for a large blue-chip corporation -running a complex business. In this course, you will learn how to: – Define business expectations – Distinguish between a long-range plan and an annual business plan – Perform stakeholder mapping – Understand what business intelligence is and why it is essential for every modern company – Carry out end-to-end process mapping – Become familiar with the main types of end-to-end processes in a corporation: Hire-to-Retire (H2R), Record-to-Report (R2R), Order-to-Cash (O2C), Source-to-Pay (S2P) – Identify key value drivers – What are metrics and what distinguished metrics and KPIs – Perform internal and external benchmarking – Understand the importance of the Master data function – Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis – Determine which is the most appropriate type of analysis depending on the problem at hand – Acquire an understanding of how to manage an analytics project – Gain an understanding of what makes for a successful analytics project All of this will be taught by an instructor with world-class experience. Randy Rosseel has worked in the Coca-Cola ecosystem for a bit more than 16 years. He has been a business controller, а senior manager of planning and consolidation, an associate director of planning and performance management; and, ultimately, a director of finance responsible for hundreds of employees. Each of the topics in the course builds on the previous ones. And you risk getting lost along the way if you do not acquire these skills in the right order. For example, one would struggle to understand how to identify KPIs if they are not introduced to Stakeholder and end-to-end process mapping first. So far, we have not seen other comparable training programs online. We believe that this is a unique opportunity to learn from a proven professional who has 360 degrees view of the analytics processes in one of the most recognizable companies in the world. What you get
And we are happy to offer an unconditional 30-day money-back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it. Why wait? Every day is a missed opportunity. Click the “Buy Now” button and become a part of our business analytics program today.Who this course is for:
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SQL that will get you hired – SQL for Business Analysis, Marketing, and Data Management.What you’ll learn
Requirements
Description How important is database management in the age of big data and analytics? It is really important. How many employers would be happy to hire employees who can use data for the purposes of business intelligence? All of them. How many people have these skills? Not enough. This is why now is the time to learn SQL and gain a competitive advantage in the job market. Remember, the average salary of a SQL developer is $92,000! That’s a lucrative career. How come? Well, when you can work with SQL, it means you don’t have to rely on others sending you data and executing queries for you. You can do that on your own. This allows you to be independent and dig deeper into the data to obtain the answers to questions that might improve the way your company does its business. For instance, Database management is the foundation for data analysis and intelligent decision making. Worried that you have no previous experience? Not an issue. We will start from the very basics and gradually teach you everything you need to know. Step by step. With no steps skipped. Why take this course in particular? Isn’t it like the rest of the SQL courses out there? We would like to think it isn’t. Our team worked hard to create a course that is:
Some of these aspects have been covered in other courses. Others haven’t. However, no one provides such a variety of topics in one place. We firmly believe this course is the best training material out there. It is a truly interactive experience preparing you for a real-life working environment. We love teaching So far, over 210,000 students have enrolled in our courses here on Udemy. Teaching is what we do best, and we take pride in going the extra mile to create the best content for you, our students. Our mission is to help you bridge the gap between theoretical knowledge taught at school and in universities and the practical application required at the workplace. So, why do you need to enroll in this course and learn SQL?
What about certificates? Do you provide a certificate? Upon completion of the course, you will be able to download a certificate of completion with your name on it. Then, you can upload this certificate on LinkedIn and show potential employers this is a skill you possess. Sounds awesome, right? So, what are you waiting for? Click the “Take this course” button, and let’s begin this journey together! Who this course is for:
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