Aspire Journeys

Data Scientist: Analytics

  • 25 Courses | 14h
  • 44 Labs | 43h 55m
Analytics data scientists use data to generate insights, evaluate options, and drive results.

Why Principles of Data Literacy? This no-code course introduces the foundational how’s and why’s of data. How do statistics help us make conclusions from data? Why is good design critical for communicating data stories through data viz? What are the different kinds of analysis we can perform on a dataset? This course will help you feel empowered to answer these questions (and more!) and work with data with confidence. ### Take-Away Skills You will learn how to evaluate data quality, interpret statistical conclusions, create and read data visualizations, and analyze data responsibly.

  • 5 Courses | 4h 25m
  • 2 Labs | 2h

We live in a data-driven world: people search through data to find insights to inform strategy, marketing, operations, and a plethora of other categories. There are a ton of businesses that use large, relational databases, which makes a basic understanding of SQL a great employable skill not only for data scientists, but for almost everyone.

In this course, you'll learn how to communicate with relational databases through SQL. You'll learn—and practice with 4 projects—how to manipulate data and build queries that communicate with more than one table.

  • 1 Course | 20m
  • 5 Labs | 5h

In this course, you will learn about exploratory data analysis techniques in Python, including: - EDA for data preparation - Summary statistics - Data visualization techniques - EDA prior to building a machine learning model Prior to taking this course, you should have some knowledge of base Python and experience with pandas DataFrames. Exploratory data analysis is an important part of any Data Scientist or Analyst's workflow, so we highly recommend this course for anyone who is interested in working with data.

  • 2 Courses | 20m
  • 4 Labs | 4h

Why Learn Tableau for Data Visualization? Visualizations are at the center of telling compelling data stories, and Tableau empowers everyone to tell a story with data, regardless of coding experience. Tableau is a leading business intelligence (BI) platform known for its friendly user experience and strong community. This course teaches you how to use Tableau to build visually appealing, interactive visualizations and dashboards. In this course, you’ll learn how to load and join data, develop effective and interactive visualizations, and build compelling data stories — all in Tableau. Finally, you’ll put your skills to the test with both an end-to-end guided project and an independent capstone project.

  • 3 Courses | 2h
  • 3 Labs | 3h

Why Learn Microsoft Excel? Microsoft Excel is one of the most popular data tools in the business world. Excel is designed as a one-stop shop for storing and analyzing data, with built-in tools to help you transform data of all kinds into business insights. Used for everything from complex financial modeling to tracking shipment orders, knowledge of Excel is foundational to any career in data analysis or business intelligence. In this course, you’ll learn to take raw data and produce insightful analyses using Excel's import tools, formulas, sorting and filtering tools, pivot tables, and charts. You will also learn best practices for managing, protecting, and cleaning data in Excel.

  • 4 Courses | 3h 30m
  • 4 Labs | 4h


Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

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