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Program overview
Online
On-site
Hybrid
Data Science with Python
Build a strong foundation in Python for data analysis and machine learning by learning core programming concepts and visualization techniques. Gain hands on experience with real world examples and popular Python frameworks to build and apply machine learning models effectively.
Duration:
5 days
Level:
Advanced
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1500+ users onboarded
Who will Benefit from this Training?
- Data Analysts
- Data Scientists
- Business analysts
- IT professionals
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
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
- 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.
Hands-on Experience with Tools
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Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
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Implementation
Supplementing training with consulting support to ensure implementation in real projects
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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.
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Lead the Digital Landscape with Cutting-Edge Tech and In-House " Techsperts "
Discover the power of digital transformation with train-to-deliver programs from Uptut's experts. Backed by 50,000+ professionals across the world's leading tech innovators.
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Frequently Asked Questions
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?
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?
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?
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.