“Python for data science is one of the most used programming language. Candidates can find the important topics for data science with python in this article.”
Python for data science: Python is a simple and easy-to-learn programming language. Due to its extensive library support (Panda, Numpy, etc.) and easier syntaxes, python is preferred for more Data science. Python finds its applications in Data analysis, machine learning, data cleaning, data science and many more.
Python for Data Science
Data science deals with extracting useful information from raw data using various tools. It uses mathematics, statistics, data analysis and many more concepts to extract the information. Python is a programming language suited for Data scientists and developers. Let us know some major important points that highlight the use of Python for data science.
- Python is an open-source and simple-to-learn programming language.
- Python has a rich library system consisting of matplotlib, TensorFlow, PyTorch, NumPy, pandas, etc. These libraries especially support advanced technologies like machine learning, artificial intelligence, and many more.
- You can code on multiple platforms, like Windows, UNIX, Mac OS, and Linux using Python.
- Python has a large community of developers who can help and share their knowledge. They also contribute to the improvement of data science tools used in Python.
- Python has easier syntax and is simpler to understand and use.
Python For Data Science Important Topics
Some important topics for Data Science using python is given in the table below.
| Python For Data Science Important Topics |
| Using Pandas Data Frames to solve complex tasks |
| Web scraping with Python |
| Use matplotlib and Seaborn for data visualizations |
| Machine Learning with SciKit Learn |
| K Nearest Neighbors |
| Decision Trees |
| Natural Language Processing |
| Use pandas to handle Excel Files |
| Connect Python to SQL |
| Use Plotly for interactive visualizations |
| Linear Regression |
| K Means Clustering |
| Random Forests |
| Neural Nets and Deep Learning |
PhysicsWallah Python For Data Science
You can find a complete Data Science course on PW Skills. The course covers all the important topics, including Python and their libraries. Experienced faculties are covering this course to provide you with all the resources you need to learn Data Science easily.
You can also check the Job Guaranteed Data Science Course on PW Skills. The course covers all the important topics with PW lab support, real-time projects, and complete live training by industry experts.
Python For Data Science Syllabus
The curriculum for Data Science Masters 2.0 is given in the table. It covers the important topics covered. Let us find out the important topics which you will learn in the Data Science Course with PW Skills.
| Python for Data Science Course Curriculum | |
| Weeks | Topics |
| 1-6 | Python |
| Course Introduction | |
| Basic Building | |
| Data Structures | |
| Functions | |
| OOP Concepts | |
| Files & Exception Handling | |
| Memory Management | |
| Connecting with Databases & APIs | |
| Python Test | |
| 7-8 | ML Toolbox |
| Pandas | |
| Numpy & Visualization | |
| Numpy, Pandas & Visualization Test | |
| 9-11 | Statistics |
| Statistics Basics | |
| Statistics Advance – 1 | |
| Statistics Advance – 2 | |
| Statistics Test | |
| 12-18 | Machine Learning |
| Introduction To ML & Feature Engineering | |
| Exploratory Data Analysis | |
| Linear Regression & Logistic Regression | |
| Feature Selection, Decision Tree & SVMs | |
| Naïve Bayes & Ensemble Techniques | |
| KNN & Dimensionality Reduction | |
| Clustering | |
| Anomaly Detection & Time Series | |
| Machine Learning Test | |
| 19-22 | Deep Learning |
| Deep Learning Neural Networks & Setup | |
| Deep Learning Test | |
| 23-25 | Computer Vision |
| Convolution Neural Networks & Architectures | |
| Object Detection | |
| Image Segmentation | |
| Advanced Computer Vision | |
| Computer Vision Test | |
| 26-28 | NLP |
| NLP Introduction & Text Processing | |
| Useful NLP Libraries & Networks | |
| Attention-Based Model & Transfer Learning In NLP | |
| NLP Test | |
| 29-30 | Big Data |
| Big Data Introduction, Hadoop & Spark | |
| Spark & Kafka | |
| Big Data Test | |
| 31-44 | Data Analytics |
| Tableau – 1 | |
| Tableau – 2 | |
| PowerBI – 1 | |
| PowerBI – 2 | |
| Power BI & Tableau Test | |
| 45-48 | Job Preparation |
| Resume & Interview Preparation For Jobs | |
| Profile Building & Apply Jobs | |
Python For Data Science Real Time Projects
The Data Science Masters course cover some important projects using ML Projects, NLP Projects, Computer vision given in the table below.
| Python For Data Science Projects | ||
| ML Projects | NLP Projects | Computer Vision Projects |
| Movie Review using BERT | Text Generation with GPT2 | Object Tracking Project |
| NER using BERT | Question Answering with SQUAD | Image Classification with SOTA CNNs |
| POS Tagging with BERT | Machine Translation with Transformers | Image to Text using OCRs |
| Text Generation with GPT2 | Paraphrasing with BART | Vision-based Attendance System |
| Question Answering with SQUAD | Text2Speech | Sign Language Detection |
| Machine Translation with Transformers | Speech2Text | Shredder Systems |
| Paraphrasing with BART | Spell Corrector | |
Python For Data Science FAQs
Why is Python used in Data science?
Python has a simple syntax with extensive library support consisting of Panda, NumPy, TensorFlow, and many more. Find the important topics in the article.
Where can I find the important syllabus for Data Science?
Candidates can find the complete course curriculum on the official website of PW Skills. Also, check the article for more direct links.
Is Python used in AI?
Yes Python is used in artificial intelligence due to the fact that it contains good frameworks suitable for this field. Check the article to know more.
