What you'll learn

Understand the value of data for businesses
The importance of Data Analytics
The role of a Data Analyst
Learn to use Python, Pandas, Matplotlib & Seaborn, Scikit-learn
Learn Visualization Tools such as Matplotlib, Seaborn, Plotly and Mapbox
Hypothesis Testing and A/B Testing - Understand t-tests and p values
Unsupervised Machine Learning with K-Means Clustering
Machine Learning from Linear Regressions (polynomial & multivariate), K-NNs, Logistic Regressions, SVMs, Decision Trees & Random Forests
Advanced Pandas techniques from Vectorizing to Parallel Processsng
Statistical Theory, Probability Theory, Distributions, Exploratory Data Analysis
Ananlytic Case Studies involving Retail, Health, Elections, Sports, Resturants, Airbnb, Uber and more!
Full Tutorial on Google Data Studio for Dashboard Creation

Requirements

Familiar with basic programming concepts
Highschool level math knowledge
Broadband Internet connection

Description

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 Analytics

Python Crash Course

Data Manipulations and Wrangling with Pandas

Probability and Statistics

Hypothesis Testing

Data Visualization

Geospatial Data Visualization

Story Telling with Data

Google Data Studio Dashboard Design - Complete Course

Machine Learning - Supervised Learning

Machine Learning - Unsupervised Learning (Clustering)

Practical Analytical Case Studies

Google Data Studio Dashboard & Visualization Project:

Executive Sales Dashboard (Google Data Studio)

Python, Pandas & Data Analytics and Data Science Case Studies:

Health Care Analytics & Diabetes Prediction

Africa Economic, Banking & Systematic Crisis Data

Election Poll Analytics

Indian Election 2009 vs 2014

Supply-Chain for Shipping Data Analytics

Brent Oil Prices Analytics

Olympics Analysis - The Greatest Olympians

Home Advantage Analysis in Basketball and Soccer

IPL Cricket Data Analytics

Predicting the Soccer World Cup

Pizza Resturant Analytics

Bar and Pub Analytics

Retail Product Sales Analytics

Customer Clustering

Marketing Analytics - What Drives Ad Performance

Text Analytics - Airline Tweets (Word Clusters)

Customer Lifetime Values

Time Series Forecasting - Demand/Sales Forecast

Airbnb Sydney Exploratory Data Analysis

A/B Testing

Who this course is for:

Begineers to Data Anaysis
Business Analysts who wish to do more with their data
College graduates who lack real worlde experience
Business oriented persons (Management or MBAs) who'd like to use data to enhance their skills
Software Developers or Engineers who'd like to move into a Data Analyst Career
Anyone looking to understand Data and uncover insights
Those looking for a good foundation before starting a Data Science Masters/Bootcamp

Homepage: https://www.udemy.com/course/the-data-analyst-bootcamp/

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