Data Analysts aim to discover how data can be used to answer questions and solve problems through the use of technology. Many believe this will be the job of the future and be the single most important skill a job application can have in 2020. In the last two decades, the pervasiveness of the internet and interconnected devices has exponentially increased the data we produce. The amount of data available to us is Overwhelming and Unprecedented. Obtaining, transforming and gaining valuable insights from this data is fast becoming the most valuable and in-demand skill in the 21st century. In this course, you’ll learn how to use Data, Analytics, Statistics, Probability, and basic Data Science to give an edge in your career and everyday life. Being able to see through the noise within data, and explain it to others will make you invaluable in any career. We will examine over 2 dozen real-world data sets and show how to obtain meaningful insights. We will take you on one of the most up-to-date and comprehensive learning paths using modern-day tools like Python, Google Colab and Google Data Studio. You’ll learn how to create awesome Dashboards, tell stories with Data and Visualizations, make Predictions, Analyze experiments and more! Our learning path to becoming a fully-fledged Data Analyst includes: The Importance of Data AnalyticsPython Crash Course Data Manipulations and Wrangling with PandasProbability and StatisticsHypothesis TestingData VisualizationGeospatial Data Visualization Story Telling with DataGoogle DataStudio Dashboard Design - Complete CourseMachine Learning - Supervised LearningMachine Learning - Unsupervised Learning (Clustering)Practical Analytical Case StudiesGoogle Data Studio Dashboard & Visualization Project: Executive Sales Dashboard (Google Data Studio)Python, Pandas & Data Analytics and Data Science Case Studies: Health Care Analytics & Diabetes PredictionAfrica Economic, Banking & Systematic Crisis DataElection Poll AnalyticsIndian Election 2009 vs 2014Supply-Chain for Shipping Data AnalyticsBrent Oil Prices AnalyticsOlympics Analysis - The Greatest OlympiansHome Advantage Analysis in Basketball and SoccerIPL Cricket Data AnalyticsPredicting the Soccer World CupPizza Resturant AnalyticsBar and Pub AnalyticsRetail Product Sales AnalyticsCustomer ClusteringMarketing Analytics - What Drives Ad PerformanceText Analytics - Airline Tweets (Word Clusters)Customer Lifetime ValuesTime Series Forecasting - Demand/Sales ForecastAirbnb Sydney Exploratory Data AnalysisA/BTesting
