Data Science with Python

Analyse data, build machine learning models, and make data-driven decisions with Python.

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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.

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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

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.

Build a high-performing, job-ready tech team.

Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Hands-on Experience with Tools

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Opt-in Certifications
AWS,, DASA & more
100% Live
on-site/online training
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program



Customising curriculum and projects to prepare your team for challenges within your industry



Supplementing training with consulting support to ensure implementation in real projects


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.

Who will Benefit from this Training?

  • Data Analysts 
  • Data Scientists
  • Business analysts
  • IT professionals

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Frequently Asked Questions

1. What are the pre-requisites for this training?
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The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
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We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
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Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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