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Nuclio Learning

Data Science with Python

  • Beginner

Dive into data analysis, create impactful dashboards, and unlock the potential of Machine Learning with this educational and practical journey towards effective and versatile data science.

  • Programming
  • Data Analysis
  • Data Visualization
  • Machine Learning

Overview

This course provides essential programming knowledge, data analysis with Pandas, and the creation of impactful dashboards using PowerBI. It also equips you to develop artificial intelligence models, enabling you to make predictions based on real-world data.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    Spanish
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Pre-recorded classes
    delivered online

Who is this course for?

Aspiring Data Analysts

Individuals looking to take their first steps in Data Science with Python.

Business Intelligence Professionals

Professionals in Business Intelligence aiming to expand their skill set into Data Science.

Individuals interested in Machine Learning

Learners who want to unlock the potential of Machine Learning for data-driven predictions.

Why should you take this course?

Data

By enrolling in this course, you will gain programming skills in Python, one of the most influential languages in the field of data science. You will learn to analyze data using Pandas, create visually appealing dashboards with PowerBI, and implement artificial intelligence models with Python.

Pre-Requisites

1 / 3

  • Basic understanding of programming concepts

  • Interest in data analysis and visualization

  • Willingness to learn and apply new data science tools

What will you learn?

PYTHON: BASIC FUNDAMENTALS
Overview of programming languages, introduction to Python, and its presence in the current world.
PYTHON: FLOW CONTROL AND BASIC DATA STRUCTURES
Variables, operators, conditionals.
PYTHON: FUNCTIONS
Definition and calling of functions, parameters, and arguments.
PANDAS LIBRARY: BASIC FUNDAMENTALS
Introduction to Pandas and its importance in data analysis, Series and DataFrames.
PANDAS LIBRARY: HANDLING DATAFRAMES AND SERIES
Creation and basic manipulation of Series and DataFrames, DataFrame attributes, renaming and accessing a DataFrame, column options, descriptive analysis, row filtering, sorting, grouping, and cleaning a DataFrame.
VISUALIZATION WITH POWERBI
What are dashboards, introduction to PowerBI, installing PowerBI.
PRACTICES WITH POWERBI
Practice 1, Practice 2.
MACHINE LEARNING WITH PYTHON
What is Machine Learning, types of problems, classification problems, regression problems, practice.

Meet your instructors

  • Ignacio Anguita

    Quantitative Analyst / Developer, SAS

    Experienced Quant Developer and Portfolio Manager with over four years of experience developing tools for traders and systematic strategies. Currently enjoys helping developing in open source projects.

  • Núria Xifré Martín

    Data Scientist, Caixabank Advanced Business Analytics

    I am an Aerospace Engineer passionate about project management and software engineering. You can check my Github profile to see my work: https://github.com/NuriaXForgeFlow.

Upcoming cohorts

  • Dates

    start now

€180