FULL COURSE TITLE
“Probability and statistics: tools for Big Data.”
COURSE DESCRIPTION
Big Data is the term that describes the large amount of data, both structured and unstructured, that abounds today. It is also the basis of Machine Learning, machine learning and Deep Learning, deep learning. Both are the basis of Artificial Intelligence; and through mathematical algorithms they try to detect patterns to understand and automatically improve that algorithm with which they are already programmed and in a certain way make the computer learn autonomously. On the other hand, we also have Data Science that takes Big Data as its pillar. This is simply a snapshot of everything that emerges from basic, initial tools such as probability and statistics.
OBJECTIVES
The objectives of this course is that fundamental tools of this discipline, probability and statistics can be taken with them in order to later be able to continue deepening them according to the needs of each one.
CERTIFICATION │ SUSTAINABLE DEVELOPMENT GOALS
This course aims to contribute to the achievement of the following Sustainable Development Goals:
Course presented by Ezequiel Madies in Strategic Alliance with the British Argentine Chamber of Commerce.
FuturED is an international educational organization to contribute to the achievement of the United Nations Sustainable Development Goals.
Course Features
- Lectures 43
- Quizzes 27
- Duration 10 weeks
- Skill level All levels
- Language Spanish (Sub English)
- Students 0
- Certificate Yes
- Assessments Yes
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UNIT 1 | INTRODUCTION TO STATISTICS
- UNIT 1 | COURSE PRESENTATION
- UNIT 1 | INTRODUCTION TO THE COURSE TITLE
- UNIT 1 | OBJECTIVE AND DESCRIPTION OF THE UNITS
- UNIT 1 | QUESTIONNAIRE 1/3
- UNIT 1 | INTRODUCTION TO STATISTICS. DESCRIPTIVE STATISTICS
- UNIT 1 | QUESTIONNAIRE 2/3
- UNIT 1 | DATA REPRESENTATION. GROUPING OF SAMPLES
- UNIT 1 | QUESTIONNAIRE 3/3
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UNIT 2 | DATA SET, CORRELATION COEFFICIENTS, LINEAR REGRESSION
- UNIT 2 | PRESENTATION OF THE UNIT
- UNIT 2 | STATISTICS (MEAN OR AVERAGE; GEOMETRIC MEAN; SAMPLE MEDIAN; MODE; PERCENTILES)
- UNIT 2 | QUESTIONNAIRE 1/3
- UNIT 2 | STATISTICS (MEASURES OF DISPERSION; MEASURES OF SHAPE)
- UNIT 2 | QUESTIONNAIRE 2/3
- UNIT 2 | PAIRED DATA SETS. LINEAR REGRESSION, LEAST SQUARES METHOD
- UNIT 2 | QUESTIONNAIRE 3/3
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UNIT 3 | ELEMENTS OF PROBABILITY AND COUNTING PRINCIPLES
- UNIT 3 | PRESENTATION OF THE UNIT
- UNIT 3 | RANDOM VARIABLE. SHOWS AND EVENTS SPACE. VENN DIAGRAMS AND ALGEBRA OF EVENTS.
- UNIT 3 | QUESTIONNAIRE 1/3
- UNIT 3 | BASIC COUNTING PRINCIPLE. COMBINATORICS: TYPES OF PERMUTATIONS
- UNIT 3 | QUESTIONNAIRE 2/3
- UNIT 3 | COMBINATIONS. CONDITIONAL PROBABILITY. BAYES THEOREM
- UNIT 3 | QUESTIONNAIRE 3/3
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UNIT 4 | RANDOM VARIABLES AND PROBABILITY DISTRIBUTION
- UNIT 4 | PRESENTATION OF THE UNIT
- UNIT 4 | PROBABILITY FUNCTION. PROBABILITY DISTRIBUTION. VARIABLES AND DISCRETE DISTRIBUTIONS. PROBABILITY OF INTERVALS
- UNIT 4 | QUESTIONNAIRE 1/3
- UNIT 4 | CONTINUOUS RANDOM VARIABLES AND CONTINUOUS DISTRIBUTIONS. MEAN AND VARIANCE OF A DISTRIBUTION
- UNIT 4 | QUESTIONNAIRE 2/3
- UNIT 4 | STANDARDIZED RANDOM VARIABLE.
- UNIT 4 | QUESTIONNAIRE 3/3
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UNIT 5 | SPECIAL RANDOM VARIABLES
- UNIT 5 | PRESENTATION OF THE UNIT
- UNIT 5 | DISTRIBUTION OF BERNOULLI. BINOMIAL DISTRIBUTION.
- UNIT 5 | QUESTIONNAIRE 1/3
- UNIT 5 | SAMPLING WITH REPLACEMENT. POISSON DISTRIBUTION. HYPERGEOMETRIC DISTRIBUTION. SAMPLING WITHOUT REPLACEMENT
- UNIT 5 | QUESTIONNAIRE 2/3
- UNIT 5 | SAMPLING ACCEPTANCE
- UNIT 5 | QUESTIONNAIRE 3/3
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UNIT 6 | SPECIAL CONTINUOUS DISTRIBUTIONS
- UNIT 6 | PRESENTATION OF THE UNIT
- UNIT 6 | UNIFORM DISTRIBUTION. NORMAL DISTRIBUTION
- UNIT 6 | QUESTIONNAIRE 1/3
- UNIT 6 | STANDARDIZED NORMAL RANDOM VARIABLE Z
- UNIT 6 | QUESTIONNAIRE 2/3
- UNIT 6 | TRANSFORMATION OF NORMAL RANDOM VARIABLES
- UNIT 6 | RECOMMENDED READING: ESTIMATION OF PROCESS CAPACITY INDICES IN CASE OF DISTRIBUTION OTHER THAN NORMAL
- UNIT 6 | QUESTIONNAIRE 3/3
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UNIT 7 | ESTIMATION OF PARAMETERS AND CONFIDENCE INTERVALS
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UNIT 8 | HYPOTHESIS TEST AND CONTROL CHARTS
- UNIT 8 | PRESENTATION OF THE UNIT
- UNIT 8 | STANDARD TERMS. TYPES OF ALTERNATIVES
- UNIT 8 | QUESTIONNAIRE 1/3
- UNIT 8 | TESTS RELATED TO THE MEAN OF A NORMAL POPULATION WITH KNOWN VARIANCE
- UNIT 8 | RECOMMENDED READING: THE ROLE OF HYPOTHESIS TESTING IN WILDLIFE SCIENCE
- UNIT 8 | QUESTIONNAIRE 2/3
- UNIT 8 | TYPES OF ERRORS IN HYPOTHESIS TESTS. POWER OF THE TEST. CONTROL LETTER
- UNIT 8 | RECOMMENDED READING: HYPOTHESIS TESTING AND EARTHQUAKE PREDICTION
- UNIT 8 | QUESTIONNAIRE 3/3
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UNIT 9 | STATISTICAL COMMANDS IN EXCEL: PART I
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UNIT 10 | STATISTICAL COMMANDS IN EXCEL: PART II
