Python Certification Training for Data Science – Basic to Advanced
Python Programming for Data Science
Data Science with Python course helps you learn the Python programming required for Data Science. Python’s design and libraries provide 10 times productivity compared to C, C++ or Java. This course will help you master the technique of how Python is deployed for Data Science and use libraries like NumPy, Pandas, Matplotlib and master the concepts of Python Machine Learning Algorithms such as Regression, Clustering, Decision Trees, Random Forest, Naïve Bayes, Q-Learning and Time Series.
Irizpro’s Python Certification Training not only focuses on python for data analysis fundamentals but Statistics and Machine Learning and also helps one gain expertise in applied Data Science using Python. The training is a step by step guide to Data Science with Python for beginners with extensive hands-on.
Data Science with Python course is packed with several activity problems, assignments and scenarios that help you gain practical experience in addressing predictive modelling problem that would require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.
Learning Python for data science will cover both basic and advanced concepts of Python like writing scripts, sequence and file operations. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.
Since Irizpro offers live-instructor-led training, you get the benefit of direct and on-spot access of a virtual classroom, unlike a recorded version where you may have to depend on external sources for clearing your doubts.
- Lectures 61
- Quizzes 0
- Duration 24 hours
- Skill level Any
- Language English
- Students 124589
- Certificate Yes
- Assessments Self
Module 01: Introduction to Data Science with Python
- What is Data Science?
- Significance of Data Science in today’s data-driven world, Applications of Data Science and Lifecycle of Data Science.
- Overview of Python
- Important Python features and how is Python different from other programming languages.
- Running some Python basic commands.
- Python variables, data types and keywords.
Module 02: Python Basic Constructs
Module 03: Functions and OOPS in Python
Module 04: Introduction to NumPy for Mathematical Computing
Module 05: Data Manipulation
Module 06: Data Visualization with Matplotlib
Module 07: Machine Learning using Python
Module 08: Supervised Learning
Module 09: Unsupervised Learning
Module 10: Dimensionality Reduction
Module 11: Reinforcement Learning
Module 12: Time Series Forecasting