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Work with Data Frames

BeginnerGuided Project

First lesson from Finance Course.

Language

  • English

Topic

  • Data Analysis

Industries

  • Financial Services

Skills You Will Learn

  • Data Analysis

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 10 minutes

Platform

  • SkillsNetwork

Last Update

  • March 20, 2023
About this Guided Project
Explain to a potential learner why this topic is important/interesting and what they can gain from completing your project.

A Look at the Project Ahead

Tell your audience what they can expect to learn. Better yet, tell them what they will be able to do as a result of completing your project:
  • Learning Objective 1
  • Learning Objective 2

What You'll Need

Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.

Instructors

Danyil Zhupnyk

Content Creator | Data Analyst

Data Scientist and Quantitative Researcher at Integrated Tech Lab (Intela), specializing in digital asset management and traditional financial markets. Content contributor for Data Analysis, Machine Learning, Big Data Analytics courses and guided projects.

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Yaroslav Vyklyuk

Full Professor, Doctor of Computer Science, PhD

Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.

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