HIGHER EDUCATION COURSE IN DATA ANALYSIS AND INTERPRETATION

INTRODUCTION

The Higher Education Course in Data Analysis and Interpretation is a specialized training in the acquisition of skills for the processing and analysis of large volumes of information. This course, with a duration of 150 hours, is designed for professionals who wish to acquire the skills and competencies necessary to make informed decisions based on data. The course is taught by experts in the field of data science and focuses on teaching data analysis techniques and tools, as well as the interpretation of the results obtained.

CERTIFICATION

Upon completion of your studies, you will receive the following certification issued by the European Business School of Barcelona, endorsed and certified by the University of Isabel I:

• Higher Education Course in Data Analysis and Interpretation

WHO IS IT FOR?

The Higher Education Course in Data Analysis and Interpretation is aimed at:

• Professionals working in companies who wish to acquire data analysis skills to make more informed decisions.
• University graduates who want to acquire data analytics skills and start a career in data science.
• Data analysts who want to improve their skills and knowledge in the field.
• Entrepreneurs and business people who want to acquire data analysis skills to improve decision making in their company.
• Anyone interested in learning how to analyze large volumes of information to make informed decisions.

OBJECTIVES

The curriculum of the Higher Education Course in Data Analysis and Interpretation aims to equip students with the following knowledge and skills:

• Acquire skills in data analysis techniques and tools.
• Learn to use data analysis software such as Python, R, Excel, and Tableau.
• Learn to interpret and visualize data to make informed decisions.
• Learn data mining and machine learning techniques.
• Develop skills in cleaning and transforming data for analysis.

EMPLOYMENT OPPORTUNITIES

ENEB is recognized by the most prestigious companies in different sectors. Its training, adapted to the current reality of the labor world, allows the student to perform perfectly in any company and to develop a promising professional career.

When you finish the Higher Education Course in Data Analysis and Interpretation, you will be able to register in our Job Bank in which ENEB has agreements with important business firms.

SYLLABUS

The Higher Education Course in Data Analysis and Interpretation is made up of the following syllabus:

TOPIC 1: DATA REPRESENTATION

• Data representation

TOPIC 2: MEASUREMENTS

• 2.1 Centralization measures
• 2.2 Measures of order or position
• 2.3 Dispersion measures
• 2.4 Outliers

TOPIC 3: REGRESSION AND CORRELATION

• 3.1 The concept of correlation
• 3.2 Linear regression. Types

TOPIC 4: PROBABILITY

• 4.1 Probability theory
• 4.2 Conditional probability

TOPIC 5: DISTRIBUTIONS

• 5.1 Discreet models distribution
• 5.2 Continuous models

TOPIC 6: CONFIDENCE INTERVALS

• 6.1 Confidence intervals
• 6.2 Confidence intervals for the mean of a normal population
• 6.3 Confidence intervals for the proportion
• 6.4 Confidence interval for the variance of a normal population
• 6.5 Confidence interval for the difference of means

TOPIC 7: INTRODUCTION TO HYPOTHESIS TESTING

• 7.1 Introduction to hypothesis testing
• 7.2 Error rates and P-Value
• 7.3 Hypothesis testing for the mean
• 7.4 Hypothesis tests for the proportion
• 7.5 Hypothesis tests on variance

TOPIC 8: STATISTICS WITH R

• 8.1. R and R-Studio installation environment preparation
• 8.2. Linear regression and correlation

DISTANCE LEARNING 

METHODOLOGY

In order to balance personal and professional life, the Higher Education course is offered entirely online. This way, you can access all the educational content through our Virtual Campus, which will be your main platform for learning, allowing you to study from anywhere in the world at any time. All assessments and final projects are also conducted remotely.

Once enrolled, you will be able to access the Virtual Campus with all the academic resources you need, providing continuous communication with other students and professors. You will have access to discussion forums, be able to undertake executive training in English, and connect with all your classmates through the ENEB Campus, among many other possibilities.

EVALUATION

Consistency is a key element in your study plan. Through the self-assessments provided via the Virtual Campus, you will be able to consolidate the knowledge you have acquired.

In order to pass the Higher Education course, it is essential to submit a final project for the course. Once your team of tutors has evaluated you, you can see your grade on the Virtual Campus. Additionally, you will receive a detailed document via email explaining all the points of your case study.

In the evaluation, your tutors will assess the following aspects:

• Presentation of the exercise, design, visual richness, and spelling.
• Development of the work, complexity of the statement, logic, and coherence in the results obtained in the case study.
• Added value in the analysis and development of the proposed case.

It is important to remember that all self-assessments are voluntary and do not count towards the final grade for each subject.