Predictive Analytics: Introduction to Business Forecasting

Course From:

Udemy

No one has the ability to capture and analyze data from the future. However, there is a way to predict the future using data from the past. It’s called predictive analytics, and organizations do it every day.

Has your company, for example, developed a customer lifetime value (CLTV) measure? That metric involves using predictive analytics to determine how much a customer will buy from the company over time. Do you have a service or product recommendation capability? That’s an analytical prediction of the product or service that your customer is most likely to buy next. Have you made a forecast of the upcoming quarter’s sales? Or used digital marketing models to determine what ad to place on what publisher’s site? All of these are forms of predictive analytics.

This course covers a few basics so you become more comfortable working with and communicating with others in your organization about the results and recommendations from predictive analytics.

This course is brought to you by Illumeo. Illumeo, incorporated in 2009, is revolutionizing the hide-bound world of corporate learning. Illumeo works with corporate professionals and organizations of all sizes to build the skills and capabilities that help everyone be an expert at their job. Based in Silicon Valley, CA, Illumeo serves thousands of corporations and corporate professionals across Finance, Accounting, Human Resources, Sales and Marketing. The platform offers assessments, industry-benchmarked competency analyses, hundreds of expert-developed courses, collaborative tools, and the ability for companies to self-publish internal courses that promote institutional knowledge retention and dissemination. Illumeo is the place for expertise management and we are dedicated to the proposition that everyone can be an expert at their job.

Course

Beginner

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Data Science Accelerator

General Assembly’s Data Science part-time course is a practical introduction to the interdisciplinary field of data science and machine learning, which lies at the intersection of computer science, statistics, and business. You will learn to use the Python programming language to acquire, parse, and model data for informing business strategy.

This is a fast-paced course with some prerequisites. Students should be comfortable with programming fundamentals, core Python syntax, and basic statistics. There is an option to complete up to 25 hours of online preparatory lessons. Talk to the General Assembly Admissions team to discuss your background and confirm if this is the right fit for you..

What you'll accomplish

A significant portion of the course is a hands- on approach to fundamental modeling techniques and machine learning algorithms. You’ll also practice communicating your results and insights by compiling technical documentation and a stakeholder presentation. Throughout this expert-designed program, you’ll:

Perform exploratory data analysis with Python.
Build and refine machine learning models to predict patterns
from data sets.
Communicate data-driven insights to technical and non-technical audiences alike.
Apply what you’ve learned to create a portfolio project: a predictive model that addresses a real-world data problem.

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

Your next step? Submit an application to talk to the General Assembly Admissions team

_{Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly}

Udacity

Beginner

4 months

10 hours

Data Science Bootcamp

General Assembly’s Data Science Immersive is a transformative course designed for you to get the necessary skills for a data scientist role in three months.

The Data Science bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

What you'll accomplish

As a graduate, you will be ready to succeed in a variety of data science and advanced analytics roles, creating predictive models that drive decision-making and strategy throughout organizations of all kinds. Throughout this expert-designed program, you’ll:

Collect, extract, query, clean, and aggregate data for analysis.
Gather, store and organize data using SQL and Git.
Perform visual and statistical analysis on data using Python and its associated libraries and tools.
Craft and share compelling narratives through data visualization.
Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.
Compile clear stakeholder reports to communicate the nuances of your analyses.
Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.
Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

Why General Assembly

Your next step? Submit an application to talk to the General Assembly Admissions team

_{Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly}

Udacity

Beginner

4 months

10 hours

Data Visualization

You’ll start by building data visualizations and dashboards, considering your audiences to be as effective as possible. Then, you’ll move into drafting presentations using storytelling techniques, visualizations, and animations to provide data-driven recommendations.

Udacity

Beginner

4 months

10 hours

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