Data Analysis and Big Data as Business Development Tools (3 ECTS)

Learning outcomes

After completing the course, the student understands the importance of data and its analysis for business. The course introduces students to the most important statistical methods using the Python programming language and introduces them to Big Data as a concept, the internet data sources that produce it, and its analysis in the form of visualization and text analysis.

Content

1. Data analytics, business analytics, statistics, statistics, probability, risk 2. Application of statistical methods and production of graphs in the Python programming language 3. Familiarity with Big Data and the sources of information that produce it 4. Familiarity with Big Data analysis; visualization, text analysis

Prerequisites

Basics of programming

Teaching methods

Virtual implementation on the TUNI Moodle learning platform, https://moodle.tuni.fi. Includes learning material, program examples, analysis examples, exercises, instructional videos, and two webinars.

Location and time

Summer implementation, in network.

Learning materials and recommended literature

All in Moodle platform.

Alternative completion methods of implementation

N/A

Internship and working life connections

N/A

Exam dates and retake possibilities

N/A

International connections

N/A

Student workload

80 h of student's work.

Content scheduling

Self-paced learning

Assessment methods and criteria

Grounds for grading: 0: Points under 50,0 % out of maximum 1: Points 50,0-59,9 % out of maximum 2: Points 60,0-69,9 % out of maximum 3: Points 70,0-79,9 % out of maximum 4: Points 80,0-89,9 % out of maximum 5: Points 90,0-100,0 % out of maximum

Evaluation scale

0-5