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Advanced Data Analytics/Science

In this 12-week course, you will gain a comprehensive understanding of how to use data to drive informed decisions. You will learn how to acquire data from various sources, visualize data effectively, and apply machine learning, regression, and statistics to your analysis. You will also learn how to use Python for data analytics, make predictions and forecasts for the future, optimize decision-making processes, and tell impactful stories with data. Through hands-on projects and real-world examples, you will develop the skills and knowledge needed to become a successful data scientist.
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Your Instructor
Antwoine Flowers
Antwoine is a data scientist. Currently leading the data science & AI efforts at the experiential commerce platform TUNL.
Course Overview

In this 12-week course, you will gain a comprehensive understanding of how to use data to drive informed decisions. You will learn how to acquire data from various sources, visualize data effectively, and apply machine learning, regression, and statistics to your analysis. You will also learn how to use Python for data analytics, make predictions and forecasts for the future, optimize decision-making processes, and tell impactful stories with data. Through hands-on projects and real-world examples, you will develop the skills and knowledge needed to become a successful data scientist.

What you’ll learn

In the Data Analytics, Python, Machine Learning, Predictive Analytics, and Prescriptive Analytics course, you'll learn how to acquire and visualize data, use Python for data analytics, apply machine learning algorithms and regression for data analysis, and optimize decision-making processes. You'll also learn predictive analytics techniques and effective data visualization to tell impactful stories. By the end of the 12-week course, you'll have the skills to become a successful data scientist.

Course Objectives

Course Prerequisites

What does this course look like?

The Data Analytics, Python, Machine Learning, Predictive Analytics, and Prescriptive Analytics course is a 12-week program with a combination of lectures, hands-on projects, and real-world examples. It covers data collection, visualization, machine learning, predictive analytics, and prescriptive analytics using Python and other common tools. The course includes quizzes and hands-on projects, and familiarity with basic mathematics and statistics is recommended but not required. By course end, students will have practical experience and skills to become successful data scientists.

Who is it for?

The Data Analytics, Python, Machine Learning, Predictive Analytics, and Prescriptive Analytics course is suitable for those looking to start a career in data science, business and IT professionals, entrepreneurs, and anyone interested in using data for informed decision-making. It's designed for individuals with different backgrounds and experience levels, with basic math and statistics recommended but not required. The 12-week course provides a solid foundation in data analytics for successful data scientists.

Course Syllabus

Course Program Stages
Duration:
Total Hours:
Week
Stage
1
-
Introduction to Data Analytics
  • Overview of data analytics
  • Types of data analytics
  • Importance of data analytics
  • Key concepts and terminologies
  • Tools and technologies used in data analytics
Week
Stage
2
-
Data Collection and Preparation
  • Data sources
  • Data collection techniques
  • Data preparation techniques
  • Data cleaning and pre-processing
Week
Stage
3
-
Exploratory Data Analysis
  • Univariate analysis
  • Bivariate analysis
  • Multivariate analysis
  • Data visualization
Week
Stage
4
-
Machine Learning
  • Overview of machine learning
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
Week
Stage
5
-
Classification of Data
  • Overview of classification
  • Decision trees
  • Random forests
  • Neural networks

View the full program syllabus, click for access!

Start Date
February 20, 2023
End Date
May 13, 2023
Enrollment Status
Closed
Location
Online

Cohort Schedule

Start Date
End Date
Enrollment Status
Location
February 20, 2023
May 13, 2023
Closed
Online
Start Date
February 20, 2023
End Date
May 13, 2023
Enrollment Status
Closed
Location
Online

Cohort Time Schedule

Mon
5:00pm – 8:00pm PST (Lecture/Lab)
Tue
5:00pm – 8:00pm PST (Lab)
Wed
5:00pm – 8:00pm PST (Lecture/Lab)
Thu
5:00pm – 8:00pm PST (Lab)
Fri
Sat
9:00am – 3:00pm PST (Lecture/Lab)
Sun

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Advanced Data Analytics/Science

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Frequently asked questions
Do I need programming experience for your courses?

No, a basic level of computer literacy and a motivation to learn is all you need for most of our courses.

Who should take your courses?

The course is designed for diverse backgrounds; If programming or tech is a career track you really want to pursue, you can sign-up for our courses whether you are software engineer, product/program manager, analyst, researcher, consultant, student etc.

How much time do I need to spend studying outside of the classroom?

It can vary depending on your unique background. However, it usually takes 1-15 hours/week outside of the classroom for homework and study time.

Will I be given a certificate after the completion of the course?

Yes, you will be given a certificate of completion for this course after you pass your final exam.

Do you accept GI Bill®?

Yes, please refer to our Veterans page for more details.

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