Best Seller

Python for Data Science

Name: Python for Data Science
Brand: Artificial Intelligence
SKU: 1223
Availability: InStock
Rating: 5 (5 reviews)

Are you looking to become an expert in Data Science and master advanced tools for data analysis and visualization? Enhance your skills with our Python for Data Science training. Learn how to use Python to handle and analyze complex data, create impactful visualizations, and apply artificial intelligence techniques to gain valuable insights. This practical training is designed to provide you with the knowledge and skills needed to excel in the field of Data Science.

5.0

(1 Reviews)

Reference : 1223

Duration : 2 Days

Visitors : 5938

In your offices or remotely

What you will learn

Master the syntax, data structures and paradigms of the studied language
Design and develop functional end-to-end applications
Apply coding best practices and SOLID or equivalent principles
Use versioning, debugging and testing tools in your projects
Integrate APIs, databases and external services into your developments
Complete a full project demonstrating the skills acquired during training

About this course

2days

Total duration

5.0/5

Average rating

1reviews

Verified reviews

Given the scope and importance of the Python language in the programming field, BCloud provides professionals and data scientists with training that allows for a deep understanding of essential packages for machine learning and natural language processing. With this training, participants will be able to grasp fundamental programming concepts, develop skills in data analysis and visualization, and acquire web content retrieval capabilities.

The Python Data Science training is designed for professionals who want to use Python in their work and individuals interested in building a career in analytics. After completing this training, participants will become certified Python language experts and will be prepared to pass the certification exam.

Who is this course for?

Target profiles and expected levels

Developers looking to deepen their technical skills in a language or framework

Computer science students looking to complement their academic training with practice

Professionals transitioning to software development roles

Data scientists and analysts looking to automate their data processing

IT engineers looking to modernise their skills with the latest technologies

Anyone looking to develop a concrete application or IT project

Course Program

Introduction to Python for Data Science and Data Preparation

1 modules

01
Introduction to Python for Data Science and Data PreparationIntroduction to Python for Data Science Overview of Python and its benefits for Data Science. Installation and setup of necessary tools (Anaconda, Jupyter Notebook, etc.). Introduction to essential libraries: NumPy, Pandas, Matplotlib, Seaborn. Data Manipulation with Pandas Introduction to Pandas: series, DataFrames, and basic operations. Loading and saving data: CSV, Excel, SQL. Data cleaning and preparation: handling missing values, filtering, and transforming data. Exploratory Data Analysis (EDA) Techniques for exploratory data analysis to understand the data. Data visualization with Matplotlib and Seaborn. Creating charts: histograms, box plots, scatter plots, etc.

Why Choose Our Course?

What sets us apart from other training centers

Project-oriented training with concrete exercises at each stage of learning

Expert trainers actively practising in the software development industry

Preconfigured development environment provided to get started immediately

Small groups enabling personalised follow-up and quality exchanges

Access to additional resources and an active community after training

Programme constantly updated to reflect current industry standards

Frequently Asked Questions (FAQ)

Everything you need to know before enrolling

To run Python, your system needs to meet the following basic requirements: 32 or 64-bit operating system 1 GB of RAM The instruction utilizes Anaconda and Jupyter notebooks. Online learning videos provide detailed instructions for their installation.

All our trainers are qualified industry experts with at least 10 to 12 years of relevant teaching experience. Each of them has undergone a rigorous selection process, including profile selection, technical assessment, and training demonstration before being certified to teach with us. We also ensure that only trainers with a high number of former students remain in our faculty.

Yes, you can cancel your registration if necessary. We will refund the amount paid. For more information, you can refer to our refund policy.

Yes, we have group packages for classroom training programs. Contact Help and Support to learn more about group discounts.

At the end of the training, subject to satisfactory evaluation of the project and passing the online exam (minimum score 80%), you will receive a certificate from BCLOUD indicating that you are a certified Python computer scientist.

You can enroll in the training through our website. Payments can be made using any of the following options. You will receive an email receipt once the payment is processed. • Visa credit or debit card • Mastercard • Diner’s club • Paypal

Our teaching assistants are a team of subject matter experts who will help you achieve certification on your first attempt. They proactively engage students to ensure course progression is followed and assist in enriching your learning experience, from in-class integration to project mentoring and job assistance. Pedagogical support is available during opening hours.

We offer 24/7 support via email and calls. We also have a dedicated team providing assistance on demand through our community forum. Additionally, you will have lifetime access to the community forum, even after completing your course with us. Disclaimer * Projects have been designed using real publicly available datasets from the mentioned organizations.

Yes, exam fees are included.

Have another question?Our team responds within 2h on business days

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