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Data Science Projects with Python

4.6 out of 5 rating Last updated 13/12/2024   English

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Duration

2 Days

12 CPD hours

Overview

By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data.

Description

This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive.

You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions.

Data Exploration and Cleaning
  • Python and the Anaconda Package Management System
  • Different Types of Data Science Problems
  • Loading the Case Study Data with Jupyter and pandas
  • Data Quality Assurance and Exploration
  • Exploring the Financial History Features in the Dataset
  • Activity 1: Exploring Remaining Financial Features in the Dataset
Introduction to Scikit-Learn and Model Evaluation
  • Introduction
  • Model Performance Metrics for Binary Classification
  • Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve
Details of Logistic Regression and Feature Exploration
  • Introduction
  • Examining the Relationships between Features and the Response
  • Univariate Feature Selection: What It Does and Doesn't Do
  • Building Cloud-Native Applications
  • Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients
The Bias-Variance Trade-off
  • Introduction
  • Estimating the Coefficients and Intercepts of Logistic Regression
  • Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters
  • Activity 4: Cross-Validation and Feature Engineering with the Case Study Data
Decision Trees and Random Forests
  • Introduction
  • Decision trees
  • Random Forests: Ensembles of Decision Trees
  • Activity 5: Cross-Validation Grid Search with Random Forest
Imputation of Missing Data, Financial Analysis, and Delivery to Client
  • Introduction
  • Review of Modeling Results
  • Dealing with Missing Data: Imputation Strategies
  • Activity 6: Deriving Financial Insights
  • Final Thoughts on Delivering the Predictive Model to the Client
Additional course details:

Nexus Humans Data Science Projects with Python training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Data Science Projects with Python course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Data Science Projects with Python Course

Available Delivery Options for the Data Science Projects with Python training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Data Science Projects with Python training provide?

The 2 day. Data Science Projects with Python training course give you up to 12 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

What is the correct audience for the Data Science Projects with Python training?

If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful.

Do you provide training for the Data Science Projects with Python.

Yes we provide corporate training, dedicated training and closed classes for the Data Science Projects with Python. This can take place anywhere in Ireland including, Dublin, Cork, Galway, Northern Ireland or live online allowing you to have your teams from across Ireland or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Data Science Projects with Python program.

The Data Science Projects with Python training takes place over 2 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

Why are Nexus Human the best provider for the Data Science Projects with Python?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for Ireland on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Data Science Projects with Python training.

Yes, the discount code PENPAL5 is currently available for the Data Science Projects with Python training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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