- At the end of this course, you will be able to: Extract meaning from large datasets using a wide variety of machine learning, data mining, and data science techniques with the Python programming language.
- Carry out iteration and evaluation of data with Python
- Grasp the best practices in cleaning and preparing your data prior to analysis
- Partition data for Modelling and Modelling Techniques
- Apply regression, clustering and classification in Python
- Achieve Certification in Machine Learning using Python upon completion of the course.
- Knowledge of Python programming language. This course develops the analytics skills of someone with fundamental knowledge of Python/R. If you have not had this knowledge, you should take the 4-day course Introduction to Programming with Python.
- An academic background related to numeracy, technology, science or economics is advisable.
- Loving to work with numbers and aspiring to build a career in Data Science.
As a free open-source, Python has been one of the most flexible and powerful languages easy to learn and easy to use. With powerful libraries for data manipulation and analysis, this free programming language is becoming commonly used by data scientists, statisticians and analysts who need to make sense of data. This course will cover both basic and advanced concepts using the most important building blocks of Machine Learning, making data modelling decisions, interpreting the outputs of algorithms, and validating the results. Also, you will be able to build statistical models such as regression, clustering, classification, and other modelling techniques.
This course is suitable to professionals who are working or aim to work in analytics related roles in such departments as Marketing, Customer Insight, Business Intelligence, IT, Finance, Statistics and so on.
Course Modules:
- Data Collection - Importing Data
- Data Pre-processing & Cleaning
- Data Integration & Manipulation
- Data Transformation
- Data Reduction
- Introduction to Predictive Modeling
- Exploratory Data Analysis (EDA)
- Unsupervised Machine Learning
- Supervised Machine Learning
- Performance Metrics for Classification
- Implementation in Python
Training Deliver Method:
- Virtual Classroom Platform (Online) - Daytime: 9:30am - 4:30pm (3 Full Days), or
Evening: 6:30pm - 9:30pm (6 Half Days).
- (Compulsory) Course Assignments: 10-15
Days
Additional Services Related
To This Course (available for signing up)
- (Optional) Hands-on Work Experience: Acquire work experience by undertaking real-life projects.
Delegates will be able to work on some of the most popular problems
businesses across industry sectors are facing and need urgent solutions.
- (Optional) Career
Support: Our optional Career Support Package will give you a further leverage to get
to your dream job and achieve your career ambition in the shortest time.
The Package including CV Surgery and Interview Consultancy is available
for subscription as an additional service to this training programme.
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Please enquire our Consultants for more
information.
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Pairview was established in 2009 as a business analytics consultancy and technology training company. Pairview is headquartered in London and rapidly expanding across the EMEA region. Pairview drives big data, analytics, and performance innovation within organisations through its range of products and services. Pairview works alongside businesses as a trusted partner, enhancing expertise, closing skills gaps and developing their Analytics Centre of Excellence to drive improvements to productivity, profitability and business growth. We also work with ambitious individuals to transform their careers by offering highly specialised training programmes and recruitment services in data and analytics.
We take pride in having a strong team of industry experts and certified technology specialists who are thought leaders in digital and analytical transformation and have extensive experience in major industry sectors including banking, financial services, insurance, telecommunications, energy, business services, and so on. Our expert knowledge, flexibility, and tailored supportive approach sets us apart in our quest to offer the highest quality services to our clients.
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