1 Scalable Data Processing in R
10 Streaming Data with AWS Kinesis and Lambda
11 Spoken Language Processing in Python
12 Foundations of Inference
13 Reshaping Data with pandas
15 Interactive Data Visualization with Bokeh
16 Text Mining with Bag-of-Words in R
17 Introduction to Predictive Analytics in Python
18 Credit Risk Modeling in R
19 Machine Learning for Finance in Python
2 Human Resources Analytics Predicting Employee Churn in Python
20 Introduction to Portfolio Risk Management in Python
21 Introduction to AWS Boto in Python
22 Analyzing Social Media Data in Python
23 Machine Learning with caret in R
24 Case Study Exploratory Data Analysis in R
25 Case Studies in Statistical Thinking
26 Data Processing in Shell
27 Image Processing with Keras in Python
28 Building chatbots in python
29 Dealing with Missing Data in Python
3 Human Resources Analytics Predicting Employee Churn in R
30 Statistical Simulation in Python
32 Case Study School Budgeting with Machine Learning in Python
33 Machine Learning for Time Series Data in Python
34 Extreme Gradient Boosting with XGBoost
35 Exploratory Data Analysis in R
36 Introduction to TensorFlow in Python
37 Preprocessing for Machine Learning in Python
38 Linear Classifiers in Python
39 Introduction to Databases in Python
4 CLI automation in python
40 Manipulating DataFrames with pandas
41 Regular Expressions in Python
42 Image Processing in Python
43 Joining data with dplyr
44 Analyzing Police Activity with pandas
45 Machine Learning with Tree-Based Models in Python
46 Introduction to Natural Language Processing in Python
47 Cleaning Data in Python
49 Streamlined Data Ingestion with pandas
5 Building Recommendation Engines with PySpark
50 Statistical Thinking in Python (Part 2)
51 Introduction to Deep Learning in Python
52 Exploratory Data Analysis in SQL
53 Intermediate Importing Data in Python
54 Unsupervised Learning in Python
56 Introduction to Data Visualization with Seaborn
57 Statistical Thinking in Python (Part 1)
58 Introduction to Importing Data in Python
59 Introduction to Data Visualization with Matplotlib
6 Choice Modeling for Marketing in R
60 Python Data Science Toolbox (Part 2)
61 Python Data Science Toolbox (Part 1)
62 Supervised Learning with scikit-learn
63 Introduction to Data Science in Python
67 Data Science for business
68 Machine Learning for business
69 Data-Driven Decision Making for Business
7 Sentiment Analysis in R
70 Data Engineering for Everyone
71 Data Visualization for Everyone
73 Data Modeling in Power BI
8 Introduction to Spark with sparklyr in R
9 Quantitative Risk Management in R
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