Welcome to Probability and Statistics for Business and Data Science! In this course we cover what you need to know about probability and statistics to succeed in business and the data science field! This practical course will go over theory and implementation of statistics to real world problems. Each section has example problems, in course quizzes, and assessment tests. We'll start by talking about the basics of data, understanding how to examine it with measurements of central tendency, dispersion, and also building an understanding of how bivariate data sources can relate to each other.

The Python Mega Course: Build 10 Real World Applications, Start Python from the basics and learn how to create 10 amazing and professional Python programs used in the real world! Go from a total beginner to a confident Python programmer Create 10 real-world Python programs (no toy programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app on the browser Create a portfolio website and publish it on a real server Create a desktop app for storing data for books Create a webcam video app that detects moving objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Use Python to schedule programs based on computer events. No prior knowledge of Python is required. No previous programming experience needed.

Udemy Online Courses - Create a SHMUP with Unity 3D, Build a Shoot em up game for mobile with C# and Unity 3D 4.7 (50 ratings), Created by Romi Fauzi, English [Auto-generated] Create a complete SHMUP game like Skyforce Upgrade (include timed upgrades) and Save features. Upgrade (include timed upgrades) and Save features. In this course we will create a full Shoot Em Up game (Skyforce, Raiden) from scratch in Unity. You will learn about object oriented programming and have an overall better understanding of C#. We will provide you with all the assets needed to create the game (including 3d models, audio), feel free to use these assets in your own games.

BESTSELLER, 4.5 (28,341 ratings), Created by 365 Careers, 365 Careers Team, English [Auto-generated], Italian [Auto-generated], 1 more The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don't teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google's TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations Understand the mathematics behind Machine Learning (an absolute must which other courses don't teach!) No prior experience is required. We will start from the very basics You'll need to install Anaconda. No prior experience is required. You'll need to install Anaconda.

Azure Machine Learning (AzureML) is considered as a game changer. Azure Machine Learning Studio is a great tool to learn to build advance models without writing a single line of code using simple drag and drop functionality.