Personal Certificate Set about data science.
To see the grade here
Udacity Data Analyst Specialization
![](https://github.com/LimberenceCheng/Udacity-DAND-Graduated/raw/master/certification.png)
During this specialization, I have learned:
- Introduction to Python. Finished project: Bay Area Bike Share Analysis
- Introduction to statistics. Finished project: Stroop_Effect_Analysis
- Investigate a Dataset Finished project: Investigate a Dataset
- Data Wrangling with MongoDBFinished project: MongoDB for data analysis
- Data Science with R. Finished project:Analysis Red Wine Quality
- Intro to Machine LearningFinished project: Identify Fraud From Enron Email
- Data Visualization and D3.jsFinished project: Data Visualization
- A/B testing Finished project: A/B Testing Udacity’s Free Trial Screener
Using Python to Access Web Data
![](certificates/accesswebdata.png)
Bayesian Statistics: From Concept to Data Analysis(with honors)
![](certificates/bayes.png)
Introduction to Data Science in Python
![](certificates/ds101.png)
Text Mining and Analytics
![](certificates/text-minging.png)
Pattern Discovery in Data Mining
![](certificates/pddm.png)
Text Retrieval and Search Engines
![](certificates/Text-Retrieval-and-Search-Engines.png)
![](certificates/ml.png)
Applied Machine Learning in Python
![](certificates/applied_ml.png)
Neural Networks and Deep Learning
![Neural Networks and Deep Learning](certificates/dl1.png)
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
![](certificates/dl2.png)
Structuring Machine Learning Projects
![](certificates/dl3.png)
Convolutional Neural Networks
![](certificates/cnn.png)
![](certificates/dl5.png)
Deep Learning Specialization
![](certificates/deeplearning.png)
![](certificates/algo_graph.png)
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
![](certificates/Algorithm1.png)
Graph Search, Shortest Paths, and Data Structures
![](certificates/Algorithm2.png)
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
![](certificates/Algorithm3.png)
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
![](certificates/Algorithm4.png)
![](certificates/AlgorithmS.png)
Probabilistic Graphical Models 1: Representation
![](certificates/PGM1.png)
Probabilistic Graphical Models 2: Inference(With Honour)
![](certificates/PGM2.png)
Probabilistic Graphical Models 3: Learning(With Honour)
![](certificates/PGM3.png)
Probabilistic Graphical Models Specialization
![](certificates/PGMS.png)