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Nuclio Learning

Data Science with Python: Data Analysis, Dashboards, and Machine Learning

  • up to 14 hours
  • Beginner

Explore data analysis, create impactful dashboards, and unlock the potential of Machine Learning in this comprehensive and practical journey into effective and versatile data science. Gain essential programming skills, learn to analyze data with Pandas, and develop AI models to make real-world predictions.

  • Python Programming
  • Data Analysis with Pandas
  • Dashboard Creation with PowerBI
  • Machine Learning Concepts
  • Predictive Analytics

Overview

This course provides a solid foundation in Data Science with Python, equipping you with the tools and skills needed to excel in data analysis and make informed decisions in various professional contexts. You'll learn to program in Python, use Pandas for data analysis, create visual dashboards with PowerBI, and implement AI models for predictive analytics.

  • 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
  • Live classes
    delivered online

Who is this course for?

Aspiring Data Analysts

Individuals looking to start their journey in Data Science using Python.

Business Intelligence Professionals

Professionals seeking to enhance their skills in Data Science and Python.

Data Enthusiasts

Anyone interested in exploring data analysis, dashboard creation, and machine learning.

Why should you take this course?

Data

Dive into the fascinating world of Data Science using Python, a fundamental skill in the digital age. This course provides essential programming knowledge, data analysis with Pandas, and impactful dashboard creation with PowerBI, empowering you to develop AI models for real-world predictions.

Pre-Requisites

1 / 3

  • Basic understanding of programming concepts

  • Familiarity with data analysis

  • Interest in learning Python

What will you learn?

Python: Basic Fundamentals
Overview of programming languages, introduction to Python, and its presence in the current world.
Python: Control Flow and Basic Data Structures
Understanding variables, operators, and conditionals in Python.
Python: Functions
Definition and calling of functions, parameters, and arguments.
Pandas Library: Basic Fundamentals
Introduction to Pandas and its importance in data analysis, including Series and DataFrames.
Pandas Library: Handling DataFrames and Series
Creation and basic manipulation of Series and DataFrames, including attributes, renaming, accessing, and descriptive analysis.
Visualization with PowerBI
Introduction to dashboards and PowerBI, including installation.
Practice with PowerBI
Hands-on practice with PowerBI through practical exercises.
Machine Learning with Python
Introduction to Machine Learning, types of problems, classification, regression, and practical exercises.

Meet your instructors

  • Ignacio Anguita

    Quantitative Analyst / Developer, SAS

    Ignacio Anguita is an experienced Quant Developer and Portfolio Manager who is currently working as a Quantitative Analyst / Developer at SAS. He has priced and hedged from exotic inflation deals to all kinds of equity, FI ... derivatives as well as managed large (>10 bn AuM Fixed Income portfolios.

  • Núria Xifré Martín

    Senior Data Engineer, AstraZeneca

    Núria Xifré Martín is an Aerospace engineer who is passionate about data and software engineering. You can check her Github profile to see her work.

Upcoming cohorts

  • Dates

    start now

€180