.webp)
Program overview
All Trainings > See More +
.png)
Data Science with Machine Learning
Data Science with Machine Learning
Leverage Machine Learning for automation, efficiency and forecasting.
Program Overview
Data Science with Machine Learning is a potent interdisciplinary field that offers businesses significant value. It combines expertise in data engineering, data analysis, statistics, and machine learning techniques to extract valuable insights, make accurate predictions, and drive informed decision-making. In today's data-driven business landscape, organizations across industries rely on data scientists and machine learning experts to uncover hidden patterns, solve complex problems, and gain a competitive advantage.
At Uptut, we specialize in providing professional training on Data Science with Machine Learning tailored specifically for businesses. Our training program is designed to equip your team with the necessary skills and knowledge to effectively apply data science and machine learning techniques in real-world scenarios.
Our comprehensive curriculum covers both theoretical concepts and practical hands-on exercises. Through engaging case studies and examples relevant to your industry, participants will understand how Data Science with Machine Learning can be successfully implemented in business environments.
Partner with Uptut to empower your business with expertise in Data Science and Machine Learning.
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 Machine Learning for Your Business?
- Data-Driven Decision Making: Data Science with Machine Learning enables businesses to make informed decisions based on data-driven insights.
- Improved Efficiency and Productivity: Machine Learning automates processes, enhancing efficiency and productivity. It automates repetitive tasks, performs complex calculations, and accurately analyses large datasets.
- Predictive Analytics and Forecasting: Machine learning models can be used to make accurate predictions and forecasts, empowering businesses to anticipate customer behaviour, market trends, and business outcomes.
- Cost Reduction: Machine Learning can lead to cost savings by automating processes and improving efficiency.
Make Your Team Proficient
Training Objectives
- Develop a solid understanding of the core concepts of Data Science
- Gain proficiency in applying a variety of supervised and unsupervised machine learning algorithms
- Learn how to analyse and visualize data effectively using popular libraries and tools
- Acquire practical skills in building accurate predictive models using machine learning algorithms
- Understand the process of evaluating and validating machine learning models using appropriate metrics, and techniques for model selection to ensure robust and reliable results
- Learn how to develop production-level Machine-Learning models and scale them effortlessly with state-of-the-art frameworks.
Hands-on Experience with Tools
No items found.
Core Training Modules
- Introduction to Data Science
- Understanding the fundamentals of data science and its applications in various domains.
- Data Preprocessing and Cleaning
- Handling missing values, outliers, and inconsistencies in the data to ensure data quality.
- Data Exploration and Visualization
- Techniques for exploring and visualizing data to gain insights and identify patterns.
- Supervised Learning Algorithms
- Gaining understanding and application of popular supervised machine learning algorithms for regression and classification tasks.
- Unsupervised Learning Algorithms
- Exploring unsupervised machine learning algorithms for tasks like clustering and dimensionality reduction.
- Model Evaluation and Selection
- Techniques for evaluating and selecting the best machine learning models based on performance metrics.
- Feature Engineering and Selection
- Transforming and selecting relevant features for improved model performance.
- Time Series Analysis
- Analyzing and forecasting time-dependent data using machine learning models.
- Model Deployment and Scalability
- Strategies for deploying machine learning models and ensuring scalability in production environments.
- Case Studies and Real-World Projects
- Applying data science and machine learning techniques to solve practical problems and analyze real-world datasets.
- Trends
- Staying updated with the latest advancements, best practices, and trends in data science and machine learning.
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?
- Software Engineers/Developers
- Business Analysts
- IT Professionals
- Data Scientists
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.
.png)
.png)
.png)
.png)
.png)
.png)
.svg)
.svg)
.svg)
.svg)
.svg)
.svg)