HarvardX Data Science Professional Certificate The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. In each course, we use motivating case studies, ask specific questions, and learn by answering these through data analysis. Throughout the program, we will be using the R software environment.
Jupyter and the future of IPython — IPython Data Science for Beginners: Hands-On Data Science in Python Data Science, Machine Learning and Artificial Intelligence are the most demanding skills in today's world, Almost every Multi-National company is working on these new technologies With this Mega Course you will learn all the required tools for Data Science from the very beginning ! We will cover below topics, 1) Data Pre-Processing: Importing Libraries, Importing Dataset, Working with missing data, Encoding categorical data, Splitting dataset into train and test set, Feature scaling 2) Regression Analysis: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, Support Vector Machine, Decision Tree, Random Forest, Evaluating the Model Performance 3) Classification Techniques: Logistic Regression, KNN, SVM, Naïve Bayes, Decision Tree, Random Forest 4) Cluster Analysis: K means, Hierarchical 5) Natural Language Processing: NLTK, Tokenization, Stemming, Lemmatization, Stop Words, POS Tagging, Chunking, Named Entity Recognition, Text Classification Regards, Vijay Gadhave Regards,
NumPy — Numpy Specialization Current session: Nov 7 — Dec 12. About the Course Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.
Home — TensorFlow Artificial Intelligence This is an Archived Course EdX keeps courses open for enrollment after they end to allow learners to explore content and continue learning. All features and materials may not be available, and course content will not be updated. Artificial intelligence is already all around you, from web search to video games. The course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. Statistical and decision–theoretic modeling paradigm. Join us today to learn more about how AI affects your life, and where it is headed in the future. Hundreds of (public domain) hexagon tiles and objects! : gamedev MIT Big Data and Social Analytics Certificate Course | GetSmarter Imagine what you could learn about humanity, and the way we interact not only with technology, but also each other, given the amount of data available to be analyzed. Social physics - a key focus of this course - is described by Professor Alex Pentland, one of the world’s leading data scientists, as “statistics meets big data to understand people”. It unlocks a whole new way to think about big data analytics by shifting focus to how the results of data analysis not only contribute to better decision making, but also how they can better assist humanity. These analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations as well as a range of other business benefits. Course overview Is this course for you? This course is suitable for technically-minded graduates and working professionals in any role, across any industry.
Programmer automates his job There's a hilarious project that's popular on GitHub, the website that hosts all kinds of software that programmers want to share with each other. The project was shared by a programmer named Nihad Abbasov, known as "Narkoz" on GitHub. It consists of a bunch of software scripts with some funny but NSFW names. Narkoz says that the scripts came from a another programmer. After the guy left for a new job, his former coworkers were looking through his work and discovered that the guy had automated all sorts of crazy things, including parts of his job, his relationships, and making coffee. The guy wrote one script that sends a text message "late at work" to his wife and "automatically picks reasons" from a preset list of them, describes Narkoz. He wrote another script relating to a customer he didn't like, given the not-nice name he chose for this script. And the best one? And his coworkers didn't even know the coffee machine was on the network and hackable.
A Practical Intro to Data Science — Zipfian Academy - Data Science Bootcamp A successful business has always relied on data for making important decisions. It involves talking with the customers face to face or taking a survey via any mean of communication or talking to the customer in person. The data that is collected manually for the businesses to understand the market better. This information is crucial to determine financial costs, time, difficulty level and mother other. In today’s world, gathering data allows you to understand your consumer better and then develop marketing strategies based on the information received. Data helps you make better decisions Any business with a website, social media presence, source of electronic money, etc. has some kind of data about their customers, user experience and web traffic. Data helps you solve problems If you are noticing slow sales month or any failed marketing campaign data helps you find out the problem or the reason for the underperformance of your business. Data helps you see your performance </center?