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School of Business

Applying Data Science to Product Management

Skills Covered

Data Science, Product Management, Data Visualization, Product Strategy

intermediate

Program Details

intermediate

Applying Data Science to Product Management is the first of three courses in the Data Product Manager Nanodegree program. Hone specialized skills in Data Product Management and learn how to model data, identify trends in data, and leverage those insights to develop data-backed product strategy.

New

School of Business

Data Product Manager

Skills Covered

Data Science, Product Management, Product Design, Data Visualization, User Journey Maps

intermediate

Program Details

intermediate

Hone specialized skills in Data Product Management by learning how to apply data science best practices to build data-driven products backed by scalable data strategies to deliver the right experience to the right users, at the right time.

New

School of Business

SQL

Skills Covered

SQL, PostgreSQL, JOINs, Subqueries, Window Functions, Partitions, Data Cleaning, DDL, DML, Relational and Non-Relational Databases

beginner

Program Details

beginner

Master SQL, the core language for Big Data analysis, and enable insight-driven decision-making and strategy for your business.

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New

School of Data Science

Data Streaming

Skills Covered

Data Streaming, Spark, Kafka, Kafka Streaming, Spark Streaming

advanced

Program Details

advanced

Learn how to stream data to unlock key insights in real-time.

New

School of Data Science

Data Visualization

Skills Covered

Data Visualization, Tableau, Dashboards, Data Storytelling

beginner

Program Details

beginner

Combine data, visuals, and narrative to tell impactful stories and make data-driven decisions.

New

School of Data Science

Programming for Data Science with R

Skills Covered

R, SQL, Git

In Collaboration With

Mode

beginner

Program Details

beginner

Prepare for a data science career by learning the fundamental data programming tools: R, SQL, command line, and git.

New

School of Data Science

Data Engineer

Skills Covered

Data Modeling, Data Pipelines, Data Lakes, Spark, Airflow

intermediate

Program Details

intermediate

Data Engineering is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career.

School of Data Science

Data Analyst

Skills Covered

Data Wrangling, Matplotlib, Bootstrapping, Pandas & NumPy, Statistics

In Collaboration With

Kaggle, Mode

intermediate

Program Details

intermediate

Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.

School of Business

Predictive Analytics for Business

Skills Covered

Data Wrangling, Classification, A/B Testing, Forecasting, Segmentation

In Collaboration With

Alteryx, Tableau

intermediate

Program Details

intermediate

Learn to apply predictive analytics and business intelligence to solve real-world business problems.

New

School of Data Science

Data Scientist

Skills Covered

Machine Learning, Deep Learning, Software Engineering

advanced

Program Details

advanced

Build effective machine learning models, run data pipelines, build recommendation systems, and deploy solutions to the cloud with industry-aligned projects.

New

School of Business

Business Analytics

Skills Covered

Excel & Spreadsheets, SQL, Data Visualization, Data Dashboards

In Collaboration With

Tableau, Mode

beginner

Program Details

beginner

Gain foundational data skills applicable to any industry. Collect and analyze data, model business scenarios, and communicate your findings with SQL, Excel, and Tableau.

New

School of Data Science

Programming for Data Science with Python

Skills Covered

Python, Numpy & Pandas, SQL, Git & GitHub

In Collaboration With

Mode

beginner

Program Details

beginner

Learn the fundamental programming tools for data professionals: Python, SQL, the Terminal and Git.

New

School of Data Science

Spark

Skills Covered

Spark, SparkSQL, Spark Dataframes, Data Wrangling, Machine Learning

In Collaboration With

Insight

intermediate

Course Details

intermediate

Master how to work with big data and build machine learning models at scale using Spark!

Free

School of Programming

Database Systems Concepts & Design

Skills Covered

Database Management Systems, Relational Algebra, Sequential Query Language, Data Indexing, SQL Injection

In Collaboration With

Georgia Institute of Technology

intermediate

Course Details

intermediate

This course presents an example of applying a database application development methodology to a major real-world project.

Free

School of Data Science

Intro to Data Analysis

Skills Covered

Data Analysis, Python, numpy, pandas

beginner

Course Details

beginner

Explore a variety of datasets, posing and answering your own questions about each. You'll be using the Python libraries NumPy, Pandas, and Matplotlib.

New

School of Data Science

SQL for Data Analysis

In Collaboration With

Mode

beginner

Course Details

beginner

Learn to use Structured Query Language (SQL) to extract and analyze data stored in databases

Free

School of Data Science

Intro to Inferential Statistics

Skills Covered

Inferential Statistics, Hypothesis Testing, T-tests, ANOVA

beginner

Course Details

beginner

Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!

Free

School of Data Science

Intro to Data Science

Skills Covered

Data Analysis Process, pandas (Python package), MapReduce paradigm

intermediate

Course Details

intermediate

What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist!

Free

School of Data Science

Data Analysis and Visualization

Skills Covered

R, Data Analysis, Data Visualization, Regression

In Collaboration With

Georgia Institute of Technology

intermediate

Course Details

intermediate

This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques.

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