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Advanced Data Analytics and Data 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 methods to your analysis. You will also learn advanced Python packages and techniques for data science, 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
Nicholas Drake, M.S.
Nicholas is a Master of Science in Data Science. He is also a Director for Relative Investment Data Solutions Strategist in Nuveen, leading a team of Data Managers. Nicholas is an intellectual adventurer passionate about achieving success through varying skill sets and collaboration to enable organizations to make data-driven decisions.
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 methods to your analysis. You will also learn advanced Python packages and techniques for data science, 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

1) Data Wrangling Techniques

2) Machine Learning & Regression Analysis

3) Statistical Analysis

4) Interactive Data Visualization

5) Python for Advanced Analytics

6) Prescriptive Analytics

7) Craft Compelling Data Narratives

Course Objectives

Course Prerequisites

What does this course look like?

This 12-week course is a comprehensive exploration of data science and analytics. It covers essential aspects such as data wrangling, machine learning, regression analysis, statistical techniques, and dynamic data visualization. Additionally, you'll gain proficiency in advanced Python for analytics. The learning experience is bolstered by quizzes, exams, real-life projects, and data challenges, ensuring practical application of knowledge. By the end, you'll emerge as a skilled data scientist, equipped to make informed decisions and craft compelling data narratives.

Who is it for?

This course is designed for individuals who are eager to deepen their understanding and practical skills in data science and analytics. It caters to aspiring data scientists, analysts, professionals seeking to transition into data-related roles, as well as anyone interested in harnessing the power of data for informed decision-making. Whether you have a background in technology, business, or any field where data plays a crucial role, this course will equip you with the necessary tools and knowledge to excel in the dynamic world of data science.

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
April 8, 2024
End Date
July 3, 2024
Enrollment Status
Open
Location
Online
Start Date
November 1, 2023
End Date
February 2, 2024
Enrollment Status
Closed
Location
Online
Start Date
February 20, 2023
End Date
May 13, 2023
Enrollment Status
Closed
Location
Online

Cohort Schedule

Start Date
End Date
Enrollment Status
Location
April 8, 2024
July 3, 2024
Open
Online
Start Date
April 8, 2024
End Date
July 3, 2024
Enrollment Status
Open
Location
Online
Start Date
November 1, 2023
End Date
February 2, 2024
Enrollment Status
Closed
Location
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 (Lecture/Lab)
Wed
5:00pm – 8:00pm PST (Lecture/Lab)
Thu
5:00pm – 8:00pm PST (Lecture/Lab)
Fri
Sat
9:00am – 3:00pm PST (Lecture/Lab)
Sun

Cohort Schedule

Course
Start Date
End Date
Enrollment Status
April 8, 2024
July 3, 2024
Open
Start Date
April 8, 2024
End Date
July 3, 2024
Enrollment Status
Open
Location
Online
Start Date
November 1, 2023
End Date
February 2, 2024
Enrollment Status
Closed
Location
Online
Start Date
February 20, 2023
End Date
May 13, 2023
Enrollment Status
Closed
Location
Online

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Advanced Data Analytics and Data 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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