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Program overview
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Data Science with Python
Data Science with Python
Analyse data, build machine learning models, and make data-driven decisions with Python.
Program Overview
Python is an excellent choice for data science due to its user-friendliness, robust libraries, and flexibility, making it a popular choice for businesses and organizations seeking to harness data for insights and decision-making. It is widely used for data analysis, data visualization, and machine learning applications.
Training in Python for data science can be a valuable investment if you are looking to upskill your team to help them analyze data, build machine-learning models, and make data-driven decisions to stay competitive in the data-driven landscape of today's business world.
Uptut’s training program covers Python programming basics and more advanced topics. This hands-on training, complete with real-world examples and projects, ensures your team is well-prepared to apply their newly acquired skills to practical problems.
Our trainers are leading data scientists and Python experts, with years of experience working in the field. They bring real-world expertise to the training program and can provide insights and guidance on applying Python for data science to your business needs.
Upon completing the training program, your team will possess a solid foundation in Python for data science, enabling them to analyze data, construct models, and make data-driven decisions. With Uptut's Python for Data Science training, you can give your business a competitive edge in today's data-driven ecosystem.
Personalised training curriculum
100% Live Sessions
Lifetime access to recordings and material
Hands-on labs and assignments included
Consulting Support
Delivered by industry experts
Why Data Science with Python for Your Business?
- Faster Insights: Quickly analyze large volumes of data, identify trends, and make data-driven decisions.
- Cost-effective: Python, being an open-source programming language, provides a cost-effective solution for you to utilise data analytics without significant expenditures.
- Scalable: Manage large datasets and adapt to the evolving requirements of a growing business, create tailored data science solutions that seamlessly integrate with other tools and systems.
Make Your Team Proficient
Training Objectives
- Gain a solid understanding of the basics of Python programming
- Gain an understanding of data analysis and visualisation
- Get introduced to machine learning and discover popular Python frameworks for building machine learning models
- Acquire hands-on experience with real-world examples and projects
Hands-on Experience with Tools
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Core Training Modules
- Introduction to Python Programming
- Overview of the Python programming language and its features.
- Data Types, Variables, and Functions in Python
- Introduction to basic data types, variables, and functions in Python.
- Control Structures in Python
- Using loops and conditional statements to control program flow in Python.
- Data Analysis with NumPy
- Introduction to the NumPy library for numerical computing with Python.
- Data Manipulation with Pandas
- Using the Pandas library for data manipulation and analysis.
- Data Visualization with Matplotlib
- Creating visualizations with Matplotlib, a popular plotting library for Python.
- Machine Learning Fundamentals
- Introduction to the principles of machine learning and its applications.
- Building Machine Learning Models with Scikit-learn
- Using the Scikit-learn library to build machine learning models.
- Deep Learning with TensorFlow
- Introduction to deep learning and utilising the TensorFlow library to build neural networks.
- Text Processing with NLTK -
- Overview of the Natural Language Toolkit (NLTK) for text processing with Python.
- Web Scraping with Python -
- Extracting data from websites using Python libraries like BeautifulSoup and Scrapy.
- Data Cleaning and Preprocessing -
- Best practices for cleaning and preprocessing data for machine learning.
- Model Evaluation and Selection -
- Techniques for evaluating and selecting machine learning models.
- Model Deployment -
- Strategies for deploying machine learning models in production environments.
- Customizing Python for Data Science Projects -
- Tips and techniques for customising Python to suit data science projects.
How does personalized training work?
01
Analyzing skill gap and assessing business requirements
02
Customising curriculum with core and additional modules to fit objectives
03
Supporting learning implementation with consulting
Who will benefit from this training?
- Data Analysts
- Data Scientists
- Business analysts
- IT professionals
Is this training right for your team?
Frequently Asked Questions- Answered!
1. What are the pre-requisites for this training?
2. Will my team get any practical experience with this training?
3. What is your mode of delivery - online or on-sight?
4. Will trainees get certified?
5. What do we do if we need further support after the training?
Upskill My Team
- Personalised training curriculum
- 100% Live Sessions
- Lifetime access to recordings and material
- Hands-on labs and assignments included
- Consulting Support
- Delivered by industry experts
Accelerate Business Returns with In-Demand Technology and High-Performing Teams
Discover the power of digital transformation with train-to-deliver programs from Uptut's expert trainers and consultants trusted by 50,000+ professionals across the world's leading tech innovators.
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