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The Introduction to Data Science class will survey the foundational topics in data science, namely: Data Manipulation, Data Analysis with Statistics and Machine Learning, Data Communication with Information Visualization, Data at Scale — Working with Big Data. The class will focus on breadth and present the topics briefly instead of focusing on a single topic in depth and apply the basic techniques of data science.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
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Course Credit: Udacity
Course Curriculum
| Module: 01 | |||
| 1 Introduction to Data Science – Intro to Data Science | 00:01:00 | ||
| 2 What Is a Data Scientist? – Intro to Data Science | 00:01:00 | ||
| 3 What Is a Data Scientist? – Intro to Data Science | 00:01:00 | ||
| 4 What Is a Data Scientist? – Intro to Data Science | 00:01:00 | ||
| 5 What Does a Data Scientist Do? – Intro to Data Science | 00:01:00 | ||
| 6 Pi Chuan – Introduction – Intro to Data Science | 00:01:00 | ||
| 7 Pi Chuan – O que é ciência de dados? | 00:01:00 | ||
| 8 Gabor – Introduction – Intro to Data Science | 00:01:00 | ||
| 9 Gabor – What Is Data Science? – Intro to Data Science | 00:01:00 | ||
| 10 Basic Data Scientist Skills – Intro to Data Science | 00:01:00 | ||
| Module: 02 | |||
| 11 Habilidades básicas de um cientista de dados | 00:01:00 | ||
| 12 Habilidades básicas de um cientista de dados | 00:01:00 | ||
| Problems Solved by Data Science – Intro to Data Science | 00:03:00 | ||
| 14 Intro to Numpy and Pandas – Intro to Data Science | 00:01:00 | ||
| 15 Numpy – Intro to Data Science | 00:01:00 | ||
| 16 Pandas – Intro to Data Science | 00:02:00 | ||
| Dataframe — Average Gold Medal – Intro to Data Science | 00:01:00 | ||
| 18 Dataframe — Average Gold Medal – Intro to Data Science | 00:01:00 | ||
| 19 Dataframe Columns – Intro to Data Science | 00:02:00 | ||
| 21 Pandas Vectorized Methods – Intro to Data Science | 00:01:00 | ||
| Module: 03 | |||
| 22 Average Bronze Medals – Intro to Data Science | 00:01:00 | ||
| 23 Average Bronze Medals – Intro to Data Science | 00:01:00 | ||
| 24 “Average Gold | 00:01:00 | ||
| 24 “Average Gold | 00:01:00 | ||
| 25 Multiplicação de matrizes e Numpy | 00:02:00 | ||
| 26 Olympics Medal Points – Intro to Data Science | 00:01:00 | ||
| 27 Olympics Medal Points – Intro to Data Science | 00:01:00 | ||
| 28 Pandas – Intro to Data Science | 00:01:00 | ||
| 29 Dataframes – Intro to Data Science | 00:01:00 | ||
| 30 Create a New Dataframe – Intro to Data Science | 00:02:00 | ||
| Module: 04 | |||
| 31 Lesson Project – Titanic Data – Intro to Data Science | 00:01:00 | ||
| 32 Class Project – Intro to Data Science | 00:01:00 | ||
| 33 Advice for Aspiring Students – Intro to Data Science | 00:01:00 | ||
| 34 Advice for Aspiring Data Scientists – Intro to Data Science | 00:01:00 | ||
| 35 Recap of Lesson 1 – Intro to Data Science | 00:01:00 | ||
| 84 Bem-vindo à Aula 2 | 00:01:00 | ||
| 37 Nick – Introdução | 00:01:00 | ||
| 38 O que é Data Wrangling? | 00:01:00 | ||
| 39 Analisando Dados Bagunçados 1 | 00:01:00 | ||
| 40 Analisando Dados Bagunçados 2 | 00:01:00 | ||
| Module: 05 | |||
| 41 Experiência do Nick com Data Wrangling | 00:01:00 | ||
| 42 Obtendo dados | 00:01:00 | ||
| 43 Formatos comuns de dados | 00:03:00 | ||
| 44 Dados CSV 1 | 00:01:00 | ||
| 45 Dados CSV 2 | 00:01:00 | ||
| 46 CSV Exercise – Intro to Data Science | 00:01:00 | ||
| 47 CSV Exercise – Intro to Data Science | 00:01:00 | ||
| 48 Quais são os bancos de dados relacionais? | 00:01:00 | ||
| 49 Dados de Aadhaar | 00:01:00 | ||
| 50 Relational Databases – Intro to Data Science | 00:01:00 | ||
| Module: 06 | |||
| 51 Relational Databases – Intro to Data Science | 00:02:00 | ||
| 52 Dados Aadhaar e bancos de dados | 00:01:00 | ||
| 53 Introdução aos esquemas dos banco de dados | 00:01:00 | ||
| 54 Database Schema – Intro to Data Science | 00:01:00 | ||
| 55 Database Schema – Intro to Data Science | 00:01:00 | ||
| 56 Consultas Simples | 00:02:00 | ||
| 57 Write Your Own Simple Query – Intro to Data Science | 00:01:00 | ||
| 58 Write Your Own Simple Query – Intro to Data Science | 00:01:00 | ||
| 59 Consultas complexas 1 | 00:01:00 | ||
| 60 Consultas complexas 2 | 00:03:00 | ||
| Module: 07 | |||
| 61 Write Your Own Complex Query – Intro to Data Science | 00:01:00 | ||
| 62 Write Your Own Complex Query – Intro to Data Science | 00:01:00 | ||
| 63 APIs | 00:01:00 | ||
| 64 Exemplo de API | 00:01:00 | ||
| 65 Dados no formato JSON | 00:01:00 | ||
| 66 Como acessar uma API de forma eficiente | 00:02:00 | ||
| 67 API Exercise – Intro to Data Science | 00:01:00 | ||
| 68 API Exercise – Intro to Data Science | 00:01:00 | ||
| 69 Sanity Checking Data | 00:01:00 | ||
| 70 Função describe de Pandas | 00:02:00 | ||
| Module: 08 | |||
| 71 Why Are Values Missing? – Intro to Data Science | 00:01:00 | ||
| 72 Why Are Values Missing? – Intro to Data Science | 00:01:00 | ||
| 73 Valores perdidos | 00:02:00 | ||
| 74 Lidando com dados perdidos | 00:02:00 | ||
| 75 Porque fazer imputação | 00:01:00 | ||
| 76 Imputação fácil | 00:01:00 | ||
| 77 Fazer imputação usando Regressão Linear | 00:01:00 | ||
| 78 Imputation Exercise – Intro to Data Science | 00:01:00 | ||
| 79 Imputation Exercise – Intro to Data Science | 00:01:00 | ||
| 80 Imputação é apenas a ponta do iceberg | 00:01:00 | ||
| Module: 09 | |||
| 81 Tarefa 2 | 00:01:00 | ||
| 82 O projeto mais legal do Nick | 00:01:00 | ||
| 83 Recapitulação | 00:01:00 | ||
| 84 Bem-vindo à Aula 2 | 00:01:00 | ||
| 85 Statistical Rigor Part 1 – Intro to Data Science | 00:01:00 | ||
| 86 Statistical Rigor Part 2 – Intro to Data Science | 00:01:00 | ||
| 87 Introdução de Kurt | 00:01:00 | ||
| 88 Why Is Statistics Useful? – Intro to Data Science | 00:01:00 | ||
| 89 Statistical Rigor Exercise – Intro to Data Science | 00:01:00 | ||
| 90 Statistical Rigor Exercise – Intro to Data Science | 00:01:00 | ||
| Module: 10 | |||
| 91 Statistical Test – Intro to Data Science | 00:01:00 | ||
| 92 Statistical Test – Intro to Data Science | 00:01:00 | ||
| 93 Introduction to Normal Distribution – Intro to Data Science | 00:01:00 | ||
| 94 Normal Distribution – Intro to Data Science | 00:01:00 | ||
| 95 Normal Distribution – Intro to Data Science | 00:01:00 | ||
| 96 t-Test – Intro to Data Science | 00:01:00 | ||
| 97 Welch’s Two-Sample t-Test – Intro to Data Science | 00:03:00 | ||
| 98 Welch’s t-Test in Python – Intro to Data Science | 00:01:00 | ||
| 99 Welch’s t-Test in Python – Intro to Data Science | 00:01:00 | ||
| 100 Welch’s t-Test Exercise – Intro to Data Science | 00:01:00 | ||
| Module: 11 | |||
| 101 Welch’s t-Test Exercise – Intro to Data Science | 00:01:00 | ||
| 102 Non-Parametric Test – Intro to Data Science | 00:02:00 | ||
| 103 Non-Normal Data – Intro to Data Science | 00:02:00 | ||
| 104 Definition of Non-Parametric Test – Intro to Data Science | 00:01:00 | ||
| 105 Definition of Non-Parametric Test – Intro to Data Science | 00:01:00 | ||
| 106 Just the Tip of the Iceberg – Intro to Data Science | 00:01:00 | ||
| 107 Predicting Future Data – Intro to Data Science | 00:01:00 | ||
| 108 O que é a Machine Learning? | 00:01:00 | ||
| 109 Por que machine learning é útil? | 00:01:00 | ||
| 110 Estatística vs. Machine Learning | 00:01:00 | ||
| Module: 12 | |||
| 111 Diferentes tipos de aprendizagem | 00:02:00 | ||
| 112 O algoritmo de ML favorito de Kurt | 00:01:00 | ||
| 113 Previsão com regressão | 00:01:00 | ||
| 114 Regressão linear com gradiente descendente | 00:03:00 | ||
| 115 Batting Average with Linear Regression – Intro to Data Science | 00:01:00 | ||
| 116 Batting Average with Linear Regression – Intro to Data Science | 00:01:00 | ||
| 117 Cost Function – Intro to Data Science | 00:02:00 | ||
| 118 How to Minimize Cost Function – Intro to Data Science | 00:03:00 | ||
| 119 Gradient Descent in Python – Intro to Data Science | 00:01:00 | ||
| 120 Gradient Descent in Python – Intro to Data Science | 00:02:00 | ||
| Module: 13 | |||
| 121 Coeficientes de Determinação | 00:01:00 | ||
| 122 Calculating R^2 – Intro to Data Science | 00:01:00 | ||
| 123 Calculating R^2 – Intro to Data Science | 00:01:00 | ||
| 124 Outras Considerações | 00:03:00 | ||
| 125 O conselho de Kurt para boas práticas de ML | 00:02:00 | ||
| 126 Conselhos para aspirantes a Cientistas de Dados | 00:02:00 | ||
| 127 Tarefa 2 | 00:01:00 | ||
| 128 Aula 3 Recapitulação | 00:01:00 | ||
| 129 Welcome to Lesson 4 – Intro to Data Science | 00:01:00 | ||
| 130 Effective Information Visualization – Intro to Data Science | 00:01:00 | ||
| Module: 14 | |||
| 131 Napoleon’s Ill-Fated March to Russia – Intro to Data Science | 00:01:00 | ||
| 132 What Do You See in This Visualization? – Intro to Data Science | 00:01:00 | ||
| 133 What Do You See in This Visualization? – Intro to Data Science | 00:01:00 | ||
| 134 What Makes a Visualization Effective? – Intro to Data Science | 00:01:00 | ||
| 135 What Makes a Visualization Effective? – Intro to Data Science | 00:03:00 | ||
| 136 Introducing Don – Intro to Data Science | 00:01:00 | ||
| 137 Don’s Advice on Communicating Findings – Intro to Data Science | 00:01:00 | ||
| 138 Introducing Rishiraj – Intro to Data Science | 00:01:00 | ||
| 139 Rishi on Communicating Findings Well – Intro to Data Science | 00:01:00 | ||
| 140 Visual Encodings Part 1 – Intro to Data Science | 00:02:00 | ||
| Module: 15 | |||
| 141 Visual Encodings Part 2 – Intro to Data Science | 00:01:00 | ||
| 142 Visual Encodings Part 3 – Intro to Data Science | 00:02:00 | ||
| 143 Visual Encoding Lecture – Intro to Data Science | 00:01:00 | ||
| 144 Visual Encoding Solution – Intro to Data Science | 00:01:00 | ||
| 145 Perception of Visual Cues – Intro to Data Science | 00:02:00 | ||
| 146 Plotting in Python – Intro to Data Science | 00:04:00 | ||
| 147 Plotting in Python – Intro to Data Science | 00:01:00 | ||
| 148 Plotting in Python – Intro to Data Science | 00:01:00 | ||
| 149 Different Data Types 1 – Numeric Data – Intro to Data Science | 00:02:00 | ||
| 150 Different Data Types 2 – Categorical Data – Intro to Data Science | 00:01:00 | ||
| Module: 16 | |||
| 151 Different Data Types 3 – Time Series Data – Intro to Data Science | 00:01:00 | ||
| 152 Data Scales – Intro to Data Science | 00:01:00 | ||
| 153 Improper Use of Scales – Intro to Data Science | 00:01:00 | ||
| 154 Improper Use of Scales – Intro to Data Science | 00:01:00 | ||
| 155 Plotting Line Charts – Intro to Data Science | 00:01:00 | ||
| 156 Plotting Line Charts – Intro to Data Science | 00:01:00 | ||
| 157 Visualizing Time Series Data – Intro to Data Science | 00:01:00 | ||
| 158 Scatter Plots – Intro to Data Science | 00:01:00 | ||
| 159 Line Charts – Intro to Data Science | 00:01:00 | ||
| 160 LOESS Curves – Intro to Data Science | 00:01:00 | ||
| Module: 17 | |||
| 161 Multivariate Data Part 1 – Intro to Data Science | 00:01:00 | ||
| 162 Multivariate Data Part 2 – Intro to Data Science | 00:01:00 | ||
| 163 Rishraj’s Advice to You – Intro to Data Science | 00:01:00 | ||
| 164 Don’s Advice to You – Intro to Data Science | 00:02:00 | ||
| 165 Lesson 4 Recap – Intro to Data Science | 00:01:00 | ||
| 166 Lesson 4 Conclusion – Intro to Data Science | 00:01:00 | ||
| 167 Welcome to Lesson 5 – Intro to Data Science | 00:01:00 | ||
| 168 Big Data and MapReduce – Intro to Data Science | 00:02:00 | ||
| 169 Scenarios for MapReduce – Intro to Data Science | 00:01:00 | ||
| 170 Scenarios for MapReduce – Intro to Data Science | 00:01:00 | ||
| Module: 18 | |||
| 171 Basics of MapReduce – Intro to Data Science | 00:01:00 | ||
| 172 Counting Words Serially – Intro to Data Science | 00:02:00 | ||
| 173 Counting Words Serially – Intro to Data Science | 00:01:00 | ||
| 174 Counting Words in MapReduce – Part 1 – Intro to Data Science | 00:01:00 | ||
| 175 Counting Words in MapReduce – Part 2 – Intro to Data Science | 00:01:00 | ||
| 176 Mapper – Intro to Data Science | 00:02:00 | ||
| 177 Reducer – Intro to Data Science | 00:02:00 | ||
| 178 MapReduce with Aadhaar Data – Intro to Data Science | 00:01:00 | ||
| 179 Mapper and Reducer with Aadhaar Data – Intro to Data Science | 00:01:00 | ||
| 180 Mapper and Reducer with Aadhaar Data – Intro to Data Science | 00:02:00 | ||
| Module: 19 | |||
| 181 More Complex MapReduce – Intro to Data Science | 00:01:00 | ||
| 182 MapReduce Ecosystem – Intro to Data Science | 00:01:00 | ||
| 183 Introducing Joshua – Intro to Data Science | 00:01:00 | ||
| 184 MapReduce Tools – Intro to Data Science | 00:01:00 | ||
| 185 Pig – Intro to Data Science | 00:01:00 | ||
| 186 Best Part About Being a Data Scientist – Intro to Data Science | 00:01:00 | ||
| 187 MapReduce with Subway Data – Intro to Data Science | 00:00:00 | ||
| 188 Lesson 5 Recap – Intro to Data Science | 00:01:00 | ||
| 189 Project Description – Intro to Data Science | 00:01:00 | ||
| 190 Accuracy of Naive Bayes – Intro to Machine Learning | 00:01:00 | ||
| 191 Accuracy of Naive Bayes – Intro to Machine Learning | 00:01:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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