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CS442 — CS442
Handouts (1)
CS442-Introduction to Data Science Midterm Modules 1-78
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Lectures (197)
What is Data Science: Introduction | Introduction to Data Science | CS442_Topic001
Data Science Hype | Introduction to Data Science | CS442_Topic002
What is Data Science: Big Data | Introduction to Data Science | CS442_Topic003
What is Data Science: Data Science Vs Data Analytics | Introduction to Data Science | CS442_Topic004
What is Data Science: Datafication | Introduction to Data Science | CS442_Topic005
Data Science: Current Landscape of Perspectives | Introduction to Data Science | CS442_Topic006
What is Data Science: Skill Set Needed | Introduction to Data Science | CS442_Topic007
What is Data Science: Software Development | Introduction to Data Science | CS442_Topic008
What is Data Science: Statistics & Mathematics | Introduction to Data Science | CS442_Topic009
What is Data Science: Domain Knowledge | Introduction to Data Science | CS442_Topic010
Statistical Inference: Introduction to Statistics | Introduction to Data Science | CS442_Topic011
Statistical Inference: Descriptive Statistics | Introduction to Data Science | CS442_Topic012
Statistical Inference: Inferential Statistics | Introduction to Data Science | CS442_Topic013
Statistical Inference: Statistical Variables | Introduction to Data Science | CS442_Topic014
Fundamentals of Descriptive Statistical | Introduction to Data Science | CS442_Topic015
Fundamentals of Inferential Statistics | Introduction to Data Science | CS442_Topic016
Statistical Inference: Statistical Modeling | Introduction to Data Science | CS442_Topic017
Statistical Inference: Fitting a Statistical Modeling |Introduction to Data Science | CS442_Topic018
Data Science: Introduction to Cloud Computing | Introduction to Data Science | CS442_Topic019
Data Science @Cloud | Introduction to Data Science | CS442_Topic020
Data Science with Cloud: Google Cloud Platform | Introduction to Data Science | CS442_Topic021
Data Science with Cloud: Amazon Web Services | Introduction to Data Science | CS442_Topic022
Data Science with Cloud: Microsoft Azure Cloud | Introduction to Data Science | CS442_Topic023
MS Azure Cloud: Social Media Analytics on Cloud | Introduction to Data Science | CS442_Topic024
Big Data & Data Science: Introduction to Big Data | Introduction to Data Science | CS442_Topic025
Big Data Vs Data Science Vs Data Analytics | Introduction to Data Science | CS442_Topic026
Big Data & Data Science: Data Types | Introduction to Data Science | CS442_Topic027
Big Data & Data Science: Handling Unstructured Data | Introduction to Data Science | CS442_Topic028
Big Data & Data Science: Understanding XML | Introduction to Data Science | CS442_Topic029
Big Data & Data Science: Understanding JSON | Introduction to Data Science | CS442_Topic030
Big Data & Data Science: Understanding Hadoop | Introduction to Data Science | CS442_Topic031
Big Data & Data Science: Understanding Spark | Introduction to Data Science | CS442_Topic032
Big Data & Data Science: Data Lake | Introduction to Data Science | CS442_Topic033
Big Data & Data Science: Healthcare Analytics | Introduction to Data Science | CS442_Topic034
SQL for Data Science: Introduction to SQL | Introduction to Data Science | CS442_Topic035
SQL for Data Science: Data Science with SQL | Introduction to Data Science | CS442_Topic036
SQL for Data Science: SQL Attributes for Data Science |Introduction to Data Science | CS442_Topic037
SQL for Data Science: SQL Commands | Introduction to Data Science | CS442_Topic038
Top SQL Data Bases: Relational Databases | Introduction to Data Science | CS442_Topic039
SQL Data Science Case Study: Sales Forecasting | Introduction to Data Science | CS442_Topic040
What is NoSQL: Introduction to NoSQL | Introduction to Data Science | CS442_Topic041
NoSQL for Data Science: Data Science with NoSQL | Introduction to Data Science | CS442_Topic042
NoSQL for Data Science: Uses of NoSQL in Data Science |Introduction to Data Science | CS442_Topic043
NoSQL for Data Science: Top NoSQL Databases | Introduction to Data Science | CS442_Topic044
Mango DB Data Science Case Study | Introduction to Data Science | CS442_Topic045
NoSQL For Data Science: SQL Vs NoSQL | Introduction to Data Science | CS442_Topic046
Data Wrangling: What is Data Wrangling | Introduction to Data Science | CS442_Topic047
Data Wrangling: Data Wrangling Process | Introduction to Data Science | CS442_Topic048
Data Wrangling: Data Wrangling Vs Data Cleansing | Introduction to Data Science | CS442_Topic049
Data Wrangling: Data Quality | Introduction to Data Science | CS442_Topic050
Data Wrangling: ETL Vs ELT | Introduction to Data Science | CS442_Topic051
Data Wrangling: Data Wrangling Tools | Introduction to Data Science | CS442_Topic052
Data Wrangling: Data Completeness | Introduction to Data Science | CS442_Topic053
Data Wrangling: Data Wrangling Example Using Python | Introduction to Data Science | CS442_Topic054
Data Wrangling: Data Wrangling Example Using Excel | Introduction to Data Science | CS442_Topic055
Data Wrangling Example Using SQL Database | Introduction to Data Science | CS442_Topic056
Introduction to Python: What is Python | Introduction to Data Science | CS442_Topic057
Python: Python Composition | Introduction to Data Science | CS442_Topic058
Python: Data Science Environment | Introduction to Data Science | CS442_Topic059
Comparison with R Studio: Python Vs R Programming | Introduction to Data Science | CS442_Topic060
Python Vs Java: Comparison with JAVA | Introduction to Data Science | CS442_Topic061
Python Vs C++: Comparison with C++ | Introduction to Data Science | CS442_Topic062
Python: Data Analysis Using Python | Introduction to Data Science | CS442_Topic064
Python Development Environment: IDE/IDLE | Introduction to Data Science | CS442_Topic065
Python: Setting Up Python Development Environment | Introduction to Data Science | CS442_Topic066
Python Libraries | Introduction to Data Science | CS442_Topic067
Python: SciPy Python Library | Introduction to Data Science | CS442_Topic068
Python: Pandas Python Library | Introduction to Data Science | CS442_Topic069
Python: IPython Library | Introduction to Data Science | CS442_Topic070
Python: NumPy Python Library | Introduction to Data Science | CS442_Topic071
Python: NLP Python Toolkit | Introduction to Data Science | CS442_Topic072
Python: PyTorch Python Library | Introduction to Data Science | CS442_Topic073
Python: TensorFlow Python Library | Introduction to Data Science | CS442_Topic074
Python: SciKit Learn Python Library | Introduction to Data Science | CS442_Topic075
Python: Theano Python Library | Introduction to Data Science | CS442_Topic076
Python: Keras Python Library | Introduction to Data Science | CS442_Topic077
Machine Learning: Machine Learning in Data Science | Introduction to Data Science | CS442_Topic078
Machines Learning: ML Vs DL Vs AI | Introduction to Data Science | CS442_Topic079
Machine Learning | Introduction to Data Science | CS442_Topic080
Machine Learning: Deep Learning | Introduction to Data Science | CS442_Topic081
Machine Learning: Artificial Intelligence | Introduction to Data Science | CS442_Topic082
Machine Learning: Supervised Learning Models | Introduction to Data Science | CS442_Topic083
Machine Learning: Linear Regression Model | Introduction to Data Science | CS442_Topic084
Machine Learning: Linear Regression Exercise | Introduction to Data Science | CS442_Topic085
Machine Learning: K Nearest Neighbor (KNN) | Introduction to Data Science | CS442_Topic086
Machine Learning: KNN Exercise | Introduction to Data Science | CS442_Topic087
Machine Learning: Decision Tree | Introduction to Data Science | CS442_Topic088
Machine Learning: Decision Tree Exercise | Introduction to Data Science | CS442_Topic089
Machine Learning: Random Forest | Introduction to Data Science | CS442_Topic090
Machine Learning: Random Forest Exercise | Introduction to Data Science | CS442_Topic091
Machine Learning: Logistic Regression | Introduction to Data Science | CS442_Topic092
Machine Learning: Logistic Regression Exercise | Introduction to Data Science | CS442_Topic093
Machine Learning: Unsupervised Machine Learning | Introduction to Data Science | CS442_Topic094
Machine Learning: K-Means Clustering | Introduction to Data Science | CS442_Topic095
Machine Learning: K-Means Clustering Exercise | Introduction to Data Science | CS442_Topic096
Machine Learning: Anomaly Detection | Introduction to Data Science | CS442_Topic097
Machine Learning: Anomaly Detection Exercise | Introduction to Data Science | CS442_Topic098
Machine Learning: Naïve Bayes | Introduction to Data Science | CS442_Topic099
Machine Learning: Naïve Bayes Exercise | Introduction to Data Science | CS442_Topic100
Machine Learning: Reinforcement Learning | Introduction to Data Science | CS442_Topic101
Machine Learning: Reinforcement Learning Models | Introduction to Data Science | CS442_Topic102
Markov Decision Process Learning Model | Introduction to Data Science | CS442_Topic103
Learning Models: Markov Decision Process Exercise | Introduction to Data Science | CS442_Topic104
Learning Models: Q Learning Model | Introduction to Data Science | CS442_Topic105
Learning Models: Q Learning Model Exercise | Introduction to Data Science | CS442_Topic106
Learning Models: ML System Design | Introduction to Data Science | CS442_Topic107
Dimensionality Reduction in Machine Learning | Introduction to Data Science | CS442_Topic108
Dimensionality Reduction: Dimensions & Measures | Introduction to Data Science | CS442_Topic109
Data Wrangling: Dimensions & Measures Examples | Introduction to Data Science | CS442_Topic110
Why Dimensionality Reduction | Introduction to Data Science | CS442_Topic111
Dimensionality Reduction Techniques | Introduction to Data Science | CS442_Topic112
Dimensionality Reduction Singular Value Decomposition |Introduction to Data Science | CS442_Topic113
Singular Value Decomposition Example | Introduction to Data Science | CS442_Topic114
Dimensionality Reduction Linear Discriminant Analysis| Introduction to Data Science | CS442_Topic115
Linear Discriminant Analysis Exercise | Introduction to Data Science | CS442_Topic116
Dimensionality Reduction Principal Component Analysis| Introduction to Data Science | CS442_Topic117
Principal Component Analysis Exercise | Introduction to Data Science | CS442_Topic118
Dimensionality Reduction: Use Case Healthcare Data | Introduction to Data Science | CS442_Topic119
Healthcare Use Case (Continue) | Introduction to Data Science | CS442_Topic120
Dimensionality Reduction Healthcare Usecase Continue | Introduction to Data Science | CS442_Topic121
Dimensionality Reduction Healthcare Usecase Continue | Introduction to Data Science | CS442_Topic122
Dimensionality Reduction: Banking Use Case | Introduction to Data Science | CS442_Topic123
Dimensionality Reduction: Banking Use Case, Continue | Introduction to Data Science | CS442_Topic124
Dimensionality Reduction: Banking Use Case Continue | Introduction to Data Science | CS442_Topic125
Dimensionality Reduction: Banking Use Case, Continue | Introduction to Data Science | CS442_Topic126
Social Networks | Introduction to Data Science | CS442_Topic127
Social Network Graphs | Introduction to Data Science | CS442_Topic128
Social Networks: Telephone | Introduction to Data Science | CS442_Topic129
Social Networks: Email | Introduction to Data Science | CS442_Topic130
Social Networks: Web Based Social Networks | Introduction to Data Science | CS442_Topic131
Social Networks: Facebook | Introduction to Data Science | CS442_Topic132
Social Networks: YouTube | Introduction to Data Science | CS442_Topic133
Social Networks: LinkedIn | Introduction to Data Science | CS442_Topic134
Social Networks: Twitter, X | Introduction to Data Science | CS442_Topic135
Social Networks: Instagram | Introduction to Data Science | CS442_Topic136
Social Networks: Social Network Analysis Process | Introduction to Data Science | CS442_Topic137
Social Networks: Social Network Analysis Benefits | Introduction to Data Science | CS442_Topic138
Social Network Analysis for Law Enforcement | Introduction to Data Science | CS442_Topic139
Social Network Analysis Healthcare Case Study | Introduction to Data Science | CS442_Topic140
Social Networks: Mining Social Networks | Introduction to Data Science | CS442_Topic141
Social Networks: Graph Methods | Introduction to Data Science | CS442_Topic142
Social Networks: Modeling Social Networks | Introduction to Data Science | CS442_Topic143
Social Networks: Social Network Communities | Introduction to Data Science | CS442_Topic144
Discovering Communities in Social Graphs | Introduction to Data Science | CS442_Topic145
Social Networks: Community Mining Algorithms | Introduction to Data Science | CS442_Topic146
Social Networks: Facebook Graph API | Introduction to Data Science | CS442_Topic147
Social Networks: Neighborhood Properties in Graphs | Introduction to Data Science | CS442_Topic148
Neighborhood Properties in Graphs Exercise | Introduction to Data Science | CS442_Topic149
Social Networks: The Girvan Newman Algorithm | Introduction to Data Science | CS442_Topic150
Social Networks: Modularity Clustering Algorithm | Introduction to Data Science | CS442_Topic151
Louvain Method for Community Detection | Introduction to Data Science | CS442_Topic152
Social Networks: Partitioning of Graphs | Introduction to Data Science | CS442_Topic153
Consolidation of Social Media Analytics | Introduction to Data Science | CS442_Topic154
Introduction to Data Visualization | Introduction to Data Science | CS442_Topic155
Core Principles of Data Visualization | Introduction to Data Science | CS442_Topic156
Data Visualization: Data Story Telling | Introduction to Data Science | CS442_Topic157
Data Visualization - Chart Libraries | Introduction to Data Science | CS442_Topic158
Data Visualization: Chart Libraries-Fusion Charts | Introduction to Data Science | CS442_Topic159
Data Visualization: Chart Libraries - HICHARTS | Introduction to Data Science | CS442_Topic160
Data Visualization: Chart Libraries - Matplotlib | Introduction to Data Science | CS442_Topic161
Data Visualization: Chart Libraries - seaborn | Introduction to Data Science | CS442_Topic162
Data Visualization: Temporal Graphs | Introduction to Data Science | CS442_Topic163
Data Visualization: Hierarchical Graphs | Introduction to Data Science | CS442_Topic164
Data Visualization: Network Graphs | Introduction to Data Science | CS442_Topic165
Data Visualization: Multi-Dimensional Graphs | Introduction to Data Science | CS442_Topic166
Data Visualization: Geo-Spatial Graphs | Introduction to Data Science | CS442_Topic167
Data Visualization: Tools | Introduction to Data Science | CS442_Topic168
Data Visualization: Tableau | Introduction to Data Science | CS442_Topic169
Data Visualization: MS Power BI | Introduction to Data Science | CS442_Topic170
Data Visualization: QlikView | Introduction to Data Science | CS442_Topic171
Data Visualization: Google Charts | Introduction to Data Science | CS442_Topic172
Data Visualization: MS Excel | Introduction to Data Science | CS442_Topic173
History of Computer Science & Data Ethics | Introduction to Data Science | CS442_Topic174
Data Science & Ethical Issues: Ethical Approaches | Introduction to Data Science | CS442_Topic175
Data Science & Ethical Issues: Data Governance | Introduction to Data Science | CS442_Topic176
Data Science & Ethical Issues: Risk Management | Introduction to Data Science | CS442_Topic177
Data Science & Ethical Issues: Data Privacy | Introduction to Data Science | CS442_Topic178
Data Science & Ethical Issues: Data Security | Introduction to Data Science | CS442_Topic179
Data Science & Ethical Issues: Data Transparency | Introduction to Data Science | CS442_Topic180
Data Science & Ethical Issues: Professional Ethics | Introduction to Data Science | CS442_Topic181
Data Science: Contemporary Ethical Challenges | Introduction to Data Science | CS442_Topic182
Data Science & Ethical Issues: Right to Consent | Introduction to Data Science | CS442_Topic183
Data Science & Ethical Issues: Algorithmic Bias | Introduction to Data Science | CS442_Topic184
Data Science & Ethical Issues: Banking Data Ethics | Introduction to Data Science | CS442_Topic185
Next Generation Data Scientist | Introduction to Data Science | CS442_Topic186
Role of Data Scientist in Industry | Introduction to Data Science | CS442_Topic187
Next Generation Data Scientist: Being Problem Solver | Introduction to Data Science | CS442_Topic188
Cultivating Soft Skills | Introduction to Data Science | CS442_Topic189
Next Generation Data Scientist: Being Question Asker | Introduction to Data Science | CS442_Topic190
Being Ethical Data Scientist | Introduction to Data Science | CS442_Topic191
Next Generation Data Scientist: Telecom Industry | Introduction to Data Science | CS442_Topic192
Next Generation Data Scientist: Banking Industry | Introduction to Data Science | CS442_Topic193
Next Generation Data Scientist: Retail Industry | Introduction to Data Science | CS442_Topic194
Next Generation Data Scientist: Industry 4.0 | Introduction to Data Science | CS442_Topic195
Next Generation Data Scientist: E-Commerce Industry | Introduction to Data Science | CS442_Topic196
Next Generation Data Scientist: Career Advice | Introduction to Data Science | CS442_Topic197
Next Generation Data Scientist Interview Preparation | Introduction to Data Science | CS442_Topic198