Description
Overview:
Welcome to the Data Science and Machine Learning using Python Bootcamp! This comprehensive course is designed to equip participants with the essential knowledge and skills to excel in the fields of data science and machine learning using the Python programming language. Through hands-on exercises, real-world projects, and expert guidance, participants will learn the fundamental concepts, tools, and techniques required to analyze data, build predictive models, and extract valuable insights.
Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases
Main Course Features:
Comprehensive coverage of Python programming fundamentals and libraries for data science and machine learning, including NumPy, Pandas, Matplotlib, and Scikit-learn.
Hands-on coding exercises and projects to reinforce learning and practical application of concepts.
In-depth exploration of data preprocessing, feature engineering, model selection, and evaluation techniques.
Guidance on building and deploying machine learning models for various applications, including classification, regression, clustering, and recommendation systems.
Introduction to deep learning and neural networks using TensorFlow and Keras.
Interactive lectures, demonstrations, and code-along sessions led by industry experts and experienced instructors.
Access to a curated selection of datasets and resources for further study and practice.
Ongoing support and mentorship to help participants succeed in their data science and machine learning journey.
Who Should Take This Course:
Aspiring data scientists, machine learning engineers, and AI enthusiasts seeking to develop practical skills in Python-based data science and machine learning.
Professionals looking to transition into data science roles or enhance their existing skill set with hands-on experience in Python.
Students and researchers interested in exploring data science and machine learning concepts for academic or professional purposes.
Learning Outcomes:
Master Python programming fundamentals and libraries essential for data science and machine learning.
Acquire practical skills in data preprocessing, visualization, and analysis using Python.
Build and evaluate predictive models for classification, regression, and clustering tasks.
Gain proficiency in deep learning techniques for image classification and natural language processing.
Develop the ability to interpret and communicate insights derived from data effectively.
Apply best practices and methodologies for developing end-to-end machine learning solutions.
Complete real-world projects demonstrating proficiency in data science and machine learning concepts.
Prepare for career opportunities in data science, machine learning, and AI with a strong foundation and portfolio of projects.
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Curriculum
Welcome, Course Introduction & overview, and Environment set-up
Python Essentials
Python for Data Analysis using NumPy
Python for Data Analysis using Pandas
Python for Data Visualization using matplotlib
Python for Data Visualization using Seaborn
Python for Data Visualization using pandas
Python for interactive & geographical plotting using Plotly and Cufflinks
Capstone Project – Python for Data Analysis & Visualization
Python for Machine Learning (ML) – scikit-learn – Linear Regression Model
Python for Machine Learning – scikit-learn – Logistic Regression Model
Python for Machine Learning – scikit-learn – K Nearest Neighbors
Python for Machine Learning – scikit-learn – Decision Tree and Random Forests
Python for Machine Learning – scikit-learn -Support Vector Machines (SVMs)
Python for Machine Learning – scikit-learn – K Means Clustering
Python for Machine Learning – scikit-learn – Principal Component Analysis (PCA)
Recommender Systems with Python – (Additional Topic)
Python for Natural Language Processing (NLP) – NLTK – (Additional Topic)
