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Top 15 data science experts on Udemy to Consider

Top 15 data science experts on Udemy to Consider 


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Evaluation, Score news, and Certificate

Your communication is stratified right away upon submission and you're e-mailed a score report within 3 days of your communication. Your score report displays drawback|the matter} variety for every drawback you tried and a grade on its problem. If you fail a tangle, the score report includes the standards you failing (e.g., “Records contain incorrect data” or “Incorrect file format”). we tend to don't report a lot of data so as to safeguard the communication content. scan a lot of regarding reviewing communication content on the listing.

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2021 TOP MS EXCEL Templates and Dashboards with applications

Save your time and effort and automate your daily tasks and events with Ready awesome MS Excel templates.

Free Excel templates to help you create spreadsheets with ease

Microsoft Excel is one of the most versatile and useful programs in the Office suite. It doesn’t matter if you need Excel templates for budgeting the next fiscal year, tracking your business inventory, planning out meals, or creating a fantasy football draft sheet, there are plenty of Microsoft Excel templates for you. For example, if you need to visualize data over a timeline, consider Excel Gantt chart templates, which are ready and available to be customized with your specific project information.

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Pytorch&Hugginface Deep Learning Course(Colab Hands-On)

Welcome to Pytorch Deep Learning From Zero To Hero Series.

If you have already mastered the basic syntax of python and don't know what to do next, this course will be a rocket booster to skyrocket your programming skill to a business applicable level.

In this course, you will be able to master implementing deep neural network from the very beginning(simple perceptron) to BERT transfer learning/Google's T5 by using pytorch and huggingface yourself by colab. Each Section will have one assignment for you to think and code yourself.

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Hello and thanks for your interest on the Go Syntax Explained series.

In this volume we begin with a reintroduction to the blank identifier, moving next to datatypes, inference, and zeroed values.

Then, we will see how to create our own data types, as well as how to create type aliases in Go.

Next, after a reintroduction of the range loop, and move quickly to struct datatypes doing multiple exercises to illustrate specific concepts that we must know.

After structs comes Interfaces as applied to structs. Then later we add map datatypes to the mix.

Finally, we will work on several exercises using interface parameters as applied to strings, numbers, maps, slices, and variadic functions.

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Learn Python From Absolute Scratch

we’ve created thorough, extensive, but easy to follow content that you’ll easily understand and absorb.

The course starts with the basics, including Python setup, fundamentals, programming

The curriculum is going to be very hands-on as we walk you from start  to become a professional Python developer. We will start from the very beginning by teaching you Python environment setup and installation. visual studio code setup for python programming, and  basics  programming fundamentals

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This course aims to largely shorten your time (and save money) for preparing the clinical programming certification exam when you possess SAS Base and some advanced programming techniques and experience. It includes the following:
  • Introduction to the exam: an exhaustive list of exam contents, books, references and registration (pricing, length, no. of questions, format, etc.)
  • A road map for SAS programmer to Clinical programming (with the focus of theory of clinical trial and industrial regulations and standards)
  • Clinical programming with coding examples in SAS
  • A mock exam on the classic questions
I have been working in the pharmaceutical industry for many years. In my early days of job seeking, I was certified as a Clinical Trial Programmer Using SAS 9 and it really helped me. Getting the clinical programming certificate is the first and the most important step towards a clinical programmer. It will surely help you get a higher response rate for your job application. More importantly, it helps you understand many important concepts and the application of SAS programming skills in a clinical context that are often questioned during job interviews.

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This is a continuation of the HeapLAB Part 1 course, a.k.a Linux Heap Exploitation - Part 1.

If you haven't taken the above course, I highly recommend you do so before embarking on this one.

HeapLAB Part 2 is the same hands-on, practical heap exploitation, just with more new techniques for you to learn!

We're covering some more Houses, including the rather complex House of Rabbit and the oldschool House of Spirit. If you didn't break a sweat during Part 1's One-Byte challenge, in which we exploited a single byte overflow, I've built a single null-byte overflow challenge for you to test your skills against. We'll also be learning about the tcache, the Tcache Dup technique, some more obscure malloc internals such as the glibc tunables, and plenty more besides. Check out the primary learning objectives for further details.

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Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:

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Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

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New! Completely updated and re-recorded for Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

“Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think, and you'll be learning from an ex-engineer and senior manager from Amazon and IMDb.

Spark works best when using the Scala programming language, and this course includes a crash-course in Scala to get you up to speed quickly. For those more familiar with Python however, a Python version of this class is also available: "Taming Big Data with Apache Spark and Python - Hands On".

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New! Updated for Spark 3, more hands-on exercises, and a stronger focus on DataFrames and Structured Streaming.

“Big data" analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think.

Learn and master the art of framing data analysis problems as Spark problems through over 20 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb.

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Welcome to the best Natural Language Processing course on the internet! This course is designed to be your complete online resource for learning how to use Natural Language Processing with the Python programming language.

In the course we will cover everything you need to learn in order to become a world class practitioner of NLP with Python.

We'll start off with the basics, learning how to open and work with text and PDF files with Python, as well as learning how to use regular expressions to search for custom patterns inside of text files.

Afterwards we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as the state of the art Spacy library for ultra fast tokenization, parsing, entity recognition, and lemmatization of text.

We'll understand fundamental NLP concepts such as stemming, lemmatization, stop words, phrase matching, tokenization and more!

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*** AS SEEN ON KICKSTARTER ***

You've definitely heard of AI and Deep Learning. But when you ask yourself, what is my position with respect to this new industrial revolution, that might lead you to another fundamental question: am I a consumer or a creator? For most people nowadays, the answer would be, a consumer.

But what if you could also become a creator?

What if there was a way for you to easily break into the World of Artificial Intelligence and build amazing applications which leverage the latest technology to make the World a better place?

Sounds too good to be true, doesn't it?

But there actually is a way..

Computer Vision is by far the easiest way of becoming a creator.

And it's not only the easiest way, it's also the branch of AI where there is the most to create.

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This course is all about A/B testing.

A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more.

A/B testing is all about comparing things.

If you’re a data scientist, and you want to tell the rest of the company, “logo A is better than logo B”, well you can’t just say that without proving it using numbers and statistics.

Traditional A/B testing has been around for a long time, and it’s full of approximations and confusing definitions.

In this course, while we will do traditional A/B testing in order to appreciate its complexity, what we will eventually get to is the Bayesian machine learning way of doing things.

First, we’ll see if we can improve on traditional A/B testing with adaptive methods. These all help you solve the explore-exploit dilemma.

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Welcome to the course on dash plotly !

In this course where i will teach you how to create interactive mobile responsive dashboards using Plotly's dash library. You will be able to create dashboards that will be mobile/ screen responsive. The way the dashboard looks will depend on the size of the screen on which a user is viewing.

Data visualisation is very critical for generating and communicating easy to understand finding and insights. Either you are a Data Analyst who wants to create a dashboard/present your analysis or you are a Data Scientist who wants to create a UI for your machine learning models, plotly dash can be a boon for  both.

Using the plotly dash, you can create interactive mobile responsive dashboards using python without knowing HTML, CSS and Javascript. Creating plotly dash dashboards is so simple and easy that you can create your dashboards within a day or two.

In this course, i will take you through each and every concept required to create a interactive mobile friendly app in plotly dash and then we will combine all of our learnings in the final project section where we will create a covid 19 world tracker.

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