Gain Business Intelligence Skills using Statistics, Data Wrangling, Data Science, Visualizations & Google Data Studio
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 Processing
-
Statistical Theory, Probability Theory, Distributions, Exploratory Data Analysis
-
Analytic Case Studies involving Retail, Health, Elections, Sports, Restaurants, 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:
- Beginners to Data Analysis
- Business Analysts who wish to do more with their data
- College graduates who lack real-world 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
Created by Rajeev D. Ratan, Nidia Sahjara
Last updated 4/2020
English
English [Auto]
Size: 6.21 GB