Data Science Course by Quality Software Technologies
Our course covers the basis to advance of both these technologies Python and Data science. The study materials are also prepared according to the syllabus and are updated often to improvise and to include the latest developments.
We have selected the trainers who have extensive experience in Python and Data science training and also have very good teaching skills.
We will ensure that by our our training our students are capable of getting a job on their own before arranging the recruitment drives.
Content
- Introduction: What is Data Science?
- Exploratory Data Analysis and the Data Science Process
- Three Basic Machine Learning Algorithms
- More Machine Learning Algorithm and Usage in Applications
- Motivating application: Filtering Spam
- Why Linear Regression and k-NN are poor choices for Filtering Spam
- Naive Bayes and why it works for Filtering Spam
- Data Wrangling: APIs and other tools for scrapping the Web
- Feature Generation and Feature Selection (Extracting
- Meaning From Data)
- Recommendation Systems: Building a User-Facing Data
- Product
- Mining Social-Network Graphs
- Data Visualization
- Data Science and Ethical Issues
