Data Science Introduction

• Class 01
  • Presentation of the course
• Class 02
  • Introductory python course
  • Math expressions
  • Lists, Lists of Lists
  • Conditional Structures
  • Repetition Structure
  • File reading
• Class 03
  • Frequency tables
  • Dictionaries and Functions
• Class 04
  • Project #01
  • Investigating the profile of applications on mobile devices
• Class 05
  • Introduction to pandas: a view of probability
  • Read, filter, assign data
  • Score
• Class 06
  • Filtering data with numerical indexes
  • Filtering data from boolean arrays
  • Data alignment
  • Use of data aggregation for more complex analysis
• Class 07
  • Data imputation
  • Data sanitization
  • Table pivoting
• Class 09
  • Case study: unemployment rate
  • Tabular vs visual representation
  • Matplotlib
  • Line charts
  • Multiplot
  • Personalization
• Class 10
  • Bar and scatter charts
  • Case study: data bias
• Class 11
  • Frequency graphs (histogram) and boxplot (box)
• Class 12
  • Data sampling
  • random sampling
  • Stratified sampling
  • Sampling by cluster
• Class 13
  • Quantitative and qualitative variables
  • Scale of measurements: nominal, ordinal, interval and ratio
• Class 14
  • Frequency distribution tables
  • Sorting of frequency distribution tables (nominal, ordinal, interval, ratio)
  • Proportions and percentages
  • Percentile and percentile ranking
  • Grouping of frequency distribution tables
  • Loss of information
• Class 15
  • Viewing distributions
  • Bar, pie and histogram charts
  • Asymmetry
  • Symmetric distributions
  • Bar chart groupings
  • Comparing histograms
  • Kernel density estimation
  • Stripe and box charts
  • Points outside the curve
• Class 16
  • Average
  • The average as a break-even point
  • Defining the mean algebraically
  • Estimating the population mean
  • Estimating the population mean from small samples
• Class 17
  • weighted average
  • The median of open distributions
  • Calculation of the median
  • The median as a strength statistic
  • The median for ordinal variables
  • Sensitivity to changes
• Class 18
  • The fashion
  • Ordinal variables
  • Nominal variables
  • Discrete variables
  • Special cases
  • Unimodal
  • Bimodal
  • Multimodal
  • Asymmetric distributions
  • Symmetric distributions
• Class 19
  • Range
  • Average Distance
  • Average absolute deviation
  • Variance and standard deviation
  • Sample standard deviation
  • Bessel correction
• Class 20
  • Definition of Z-Score
  • standard distribution
  • Better understanding of off-curve points
  • Z-Score as a measure of comparison
  • Z-Table
  • Transformation of Z-Score into value
• Class 21
  • Correlation and covariance
  • Correlation coefficient
• Class 22
  • Estimating probabilities
  • Basic rules of probability
• Class 23
  • Solving complex problems with probability
  • conditional probability
  • Bayes' theorem