Datacamp All Courses 693t2

S.No

Name 1 Introduction to R 2 Data Analysis in R the data.table way 3 Data Manipulation in R with dplyr 4 Data Visualization in R with ggvis 5 Reporting with R Markdown 6 Intermediate R 7 Introduction to Machine Learning 8 Cleaning Data in R 9 Intermediate R - Practice 10 Data Visualization with ggplot2 (Part1) 11 Data Visualization with ggplot2 (Part2) 12 Data Visualization with ggplot2 (Part3) 13 Text Mining Bag of Words 14 Exploring Pitch Data with R 15 Working with Rstudio IDE (Part 1) 16 Introduction to Portfolio Analysis in R 17 Credit Risk Modeling in R 18 Machine Learning Toolbox 19 Working with Rstudio IDE (Part 2) 20 ing Data in R with dplyr 21 Manipulating Time Series Data in R with xts & zoo 22 Introduction to Time Series Analysis 23 Importing & Cleaning Data in R: Case Studies 24 Financial Trading in R 25 Importing & Managing Financial Data in R 26 Exploratory Data Analysis in R: Case Study 27 Importing Data in R (part 1) 28 Importing Data in R (part 2) 29 Data Visualization in R 30 Writing Function in R 31 Statistical Modeling in R (Part 1) 32 Statistical Modeling in R (Part 2) 33 Intermediate Portfolio Analysis in R 34 Bond Valuatio & Analysis in R 35 Foundations of Interference 36 Exploratory Data Analysis 37 Correlation & Regression 38 Introduction to Data 39 ARIMA Modeling with R 40 Unsupervised Learning in R 41 Working with Geospatial Data in R 42 Manipulating Time Series Data in R : Case Studies 43 Object Oriented Programming in R : S3 & R6 44 Sentiment Analysis in R

Name of Skill Data Scientist wit R Data Scientist wit R Data Scientist wit R Data Scientist wit R Data Scientist wit R Data Scientist wit R Data Scientist wit R Data Scientist wit R Data Scientist wit R

Data Scientist wit R

Data Scientist wit R

Data Scientist wit R Data Scientist wit R Data Scientist wit R Data Scientist wit R

Data Scientist wit R Data Scientist wit R Data Scientist wit R Data Scientist wit R

45 Visualizing Time Series Data in R 46 Valuation of Life Insurance Products in R 47 Foundation of Probability in R 48 Scalable Data Processing in R 49 Introduction to R for Finance 50 Intermediate R for Finance 51 Supervised Learning in R : Classification 52 String Manipulation in R with stringr 53 Writing Efficient R Code 54 Forecasting Using R 55 Machine Learning with Tree Based Models in R 56 Working with Web Data in R 57 Quantitative Risk Management in R 58 Spatial Statistics in R 59 Data Visualization in R with lattice 60 Inroduction to Spark in R using sparklyr 61 Sentiment Analysis in R : The Tidy Way 62 Multiple & Logistic Regression 63 Inference for Linear Rgression 64 Equity Valuation in R 65 Building Web Application in R with Shiny : Case Studies 66 Supervised Learning in R : Regression 67 Spatial Analysis in r with sf & raster 68 Network Analysis in R 69 Building Web Application in R with Shiny 70 Introduction to the Tidyverse 71 Inference for Numerical Data 72 Fundamentals of Bayesian Data Analysis in R 73 Working with Dates & Times in R 74 Cluster Analysis in R 75 Inference for Categorical Data 76 Building Dashboards with flexdashboard 77 Communicating with Data in the Tidyverse 78 Building Dashboards with shinydashboard 79 Modeling with Data in the Tidyverse 80 Human Resources Analytics in R : Exploring Employee Data 81 Business Process Analytics in R 82 Working with Date in the Tidyverse 83 Superviswd Learning in R: Case Studies 84 Forecasting Product Demand in R 85 Marketing Analytics in R: Statistical Modeling 86 Network Analysis in R: Case Studies 87 Hierarchical & Mixex Effects Models 88 Parallel Programing in R 89 Data Privacy & Anonymization in R

Data Scientist wit R Data Scientist wit R

Data Scientist wit R

Data Scientist wit R Data Scientist wit R

90 Bayesian Modeling with RJAGS 91 Structural Equation Modeling with lavaan in R 92 Marketing Analytics in R: Choice Modeling 93 Categorical Data in the Tidyverse 94 Experimental Design in R 95 Analyzing Survey Data in R 96 Network Science in R- A Tidy Approach 97 Vector Machines in R 98 Interactive Maps with leaflet in R

Data Scientist with R

Quantitative Analyst with R

S.No

Name 1 Intro to Python for Data Science 2 Intermediate Python for Data Science 3 Introduction to Databases in Python 4 Interactive Data Visualization with Bokesh 5 Python Data Science Toolbox (Part 1) 6 Python Data Science Toolbox (Part 2) 7 Statistical Thinking in Python (Part 1) 8 Statistical Thinking in Python (Part 2) 9 Importing Data in Python (Part 1) 10 Importing Data in Python (Part 2) 11 Pandas Foundations 12 Manipulating DataFrames with pandas 13 Merging DataFrames with pandas 14 Introduction to Data visualization with Python 15 Network Analysis in Python (Part 1) 16 Supervised Learning with scikit learn 17 Deep Learning in Python 18 Cleaning Data in Python 19 Unsupervised Learning in Python 20 Machine Learning with Experts : School Budgets 21 Data Types for Data Science 22 Network Analysis in Python (Part 2) 23 Natural Language Processing fundamentals in Python 24 Building Chatbots in Python 25 Extreme Gradient Boosting with XGBoost 26 Importing & Managing Financial Data in Python 27 Manipulating Time Series Data in Python 28 Introduction to Time Series Analysis in Python 29 Parallel Computing with Dask 30 Introduction to PySpark 31 Case Studies in Statistical Thinking 32 Visualizing Timeseries Data in Python 33 Python for R s 34 Intro to Financial Concepts using Python 35 Intro to Portfolio Risk Management in Python 36 Customer Analytics & A/B Testing in Python 37 Linear Classifier in Python 38 HR Analytics in Python: Predicting Employee Churn 39 Machine Learning with Tree Based Models in Python 40 Foundation of Predictive Analytics in Python (Part 1) 41 Preprocessing for Machine Learning in Python 42 Machine Learning for Finance in Python 43 Analyzing Police Activity with pandas 44 Data Visualization with Seaborn

45 Statistical Simulation in Python 46 Convolutional Neural Networks for Image Processing

S.No

Name 1 Intro to SQL for Data Science 2 ing Data in Postgre SQL

Data Scientist with R

S.No

Name 1 Spreadsheet Basics 2 Data Analysis with Spreadsheets

10/1/2018 Name

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