Data Science Certificate

Personal Certificate Set about data science. To see the grade here

Udacity Data Analyst Specialization

During this specialization, I have learned:

1. Introduction to Python. Finished project: Bay Area Bike Share Analysis
2. Introduction to statistics. Finished project: Stroop_Effect_Analysis
3. Investigate a Dataset Finished project: Investigate a Dataset
4. Data Wrangling with MongoDBFinished project: MongoDB for data analysis
5. Data Science with R. Finished project:Analysis Red Wine Quality
6. Intro to Machine LearningFinished project: Identify Fraud From Enron Email
7. Data Visualization and D3.jsFinished project: Data Visualization
8. A/B testing Finished project: A/B Testing Udacity’s Free Trial Screener

Tools

Using Python to Access Web Data

Statistics

Bayesian Statistics: From Concept to Data Analysis(with honors)

Data Mining

Introduction to Data Science in Python

Text Mining and Analytics

Pattern Discovery in Data Mining

Text Retrieval and Search Engines

Machine Learning

Applied Machine Learning in Python

Deep Learning

Neural Networks and Deep Learning

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Structuring Machine Learning Projects

Convolutional Neural Networks

Sequence Model

Deep Learning Specialization

Algorithm

Algorithm on Graphs

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Graph Search, Shortest Paths, and Data Structures

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Algorithm Specialization

Probabilistic Graphical Models 1: Representation

Probabilistic Graphical Models 2: Inference(With Honour)

Probabilistic Graphical Models 3: Learning(With Honour)

Probabilistic Graphical Models Specialization