Business Analyst v2.0.0 | Udacity Free Download

Business Analyst v2.0.0 | Udacity
English | Size: 3.37 GB
Genre: eLearning

Learn to clearly define business issues, prepare and clean data, build Tableau dashboards, and implement a variety of predictive modeling techniques.

What is Predictive Analytics?
Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future.

What is predictive analytics used for?
Predictive analytics are used to determine customer responses or purchases, as well as promote cross-sell opportunities. Predictive models help businesses attract, retain and grow their most profitable customers. Improving operations. Many companies use predictive models to forecast inventory and manage resources.

Applications of Predictive Analytics
Retail. Probably the largest sector to use predictive analytics, retail is always looking to improve its sales position and forge better relations with customers. …
Health. …
Sports. …
Weather. …
Insurance/Risk Assessment. …
Financial modeling.

What You Will Learn in Predictive Analytics for Business Nanodegree?
Learn to analyze data, create dashboards, and build predictive models.

PREREQUISITE KNOWLEDGE
Students who enroll should be familiar with algebra and descriptive statistics and have experience working with data in Excel. Working knowledge of SQL and Tableau is a plus, but not required.

Problem Solving with Advanced Analytics: In this course, we give you a framework to help you organize and plan your analytical approach. We also introduce both simple Linear Regression and Multiple Linear Regression.
PREDICT SALES FOR A CATALOG LAUNCH

Data Wrangling: Data Wrangling is at the core of all data activity. In this course you learn how to work with different data types, dirty data, and outliers. You will also learn how to reformat data and join data from different sources together.
CREATE AN ANALYTICAL DATASET

Classification Models: Classification models are a powerful tool for business analyst. In this course, you learn more about binary and non-binary classification models and how to use them to drive business insights.
PREDICT LOAN DEFAULT RISK

A/B Testing: Helping businesses make the best decisions is an essential part of Business Analysis. Planning and executing the analysis of an AB test allow you to provide confident recommendations. In this course, you learn how to create, execute, and analyze an AB test.
A/B TEST A MENU LAUNCH

Time Series Forecasting: Time Series Forecasting is a powerful analytical tool. In this course, you learn how ETS and ARIMA models are used to forecast data and how they deal with trends and seasonality. These skills will be evaluated in the final project.

Segmentation and Clustering: Segmentation and Clustering are effective methods for finding patterns in your data. In this course, you learn how to prepare data to be clustered appropriately and interpret results.
COMBINE PREDICTIVE TECHNIQUES

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