Course on Data Analysis with Python

Course on data analysis with python

Name: Course on data analysis with python
Price: 260 EUR

4,6

234 alumnos

Entidad(es):

Modalidad

Online

Duración - Créditos

200 horas

Becas y

Financiación

Plataforma Web

24 Horas

Centro Líder

formación online

Acompañamiento

Personalizado

Reconocidos por:

Acreditados como:

Temario

UNIT 1. INTRODUCTION TO DATA ANALYSIS

UNIT 2. LIBRARIES FOR DATA ANALYSIS: NUMPY, PANDAS, AND MATPLOTLIB

UNIT 3. DATA FILTERING AND EXTRACTION

UNIT 4. PIVOT TABLES

UNIT 5. GROUPBY AND AGGREGATION FUNCTIONS

UNIT 6. DATAFRAME MERGING

UNIT 7. DATA VISUALIZATION WITH MATPLOTLIB AND SEABORN

UNIT 8. INTRODUCTION TO MACHINE LEARNING

UNIT 9. LINEAR REGRESSION AND LOGISTIC REGRESSION

UNIT 10. DECISION TREES

UNIT 11. NAIVE BAYES

UNIT 12. SUPPORT VECTOR MACHINES (SVM)

UNIT 13. K-NEAREST NEIGHBORS (KNN)

UNIT 14. PRINCIPAL COMPONENT ANALYSIS (PCA)

UNIT 15. RANDOM FOREST

Descarga gratis el temario completo en PDF de course on data analysis with python

Plan de estudios

Resumen salidas profesionales

The demand for data analysis skills is soaring, and Python stands at the forefront as a powerful tool for unlocking insights from complex datasets. Our Course on Data Analysis with Python is designed to equip you with the essential skills needed to excel in this thriving field. You'll learn to harness Python's capabilities to manipulate, analyse, and visualise data effectively. With the increasing reliance on data-driven decisions across industries, employers are actively seeking professionals who can transform raw data into actionable insights. By enrolling in this course, you position yourself at the leading edge of a booming industry, ready to meet the demands of a data-centric world. Our engaging online format ensures you can learn at your own pace, making it easier than ever to acquire these in-demand skills and enhance your career prospects. Join us to become a sought-after expert in data analysis with Python.

Objetivos

- To understand the basics of Python for data analysis. - To learn to manipulate datasets using Python libraries. - To develop skills in data visualisation techniques. - To master data cleaning and preprocessing methods. - To apply statistical analysis using Python. - To explore data science tools and frameworks. - To gain proficiency in writing Python scripts for analysis.

Salidas profesionales

- Data analyst in tech companies - Marketing data strategist - Financial analyst using Python - Data visualisation specialist - Python programmer for data insights - Business intelligence consultant - Healthcare data analyst - E-commerce data optimisation expert - Government data researcher - Machine learning assistant in data science projects

Para qué te prepara

The Course on Data Analysis with Python prepares you to tackle complex data challenges with confidence. You will learn to manipulate and analyse large datasets, draw meaningful insights, and make data-driven decisions. By mastering Python libraries like Pandas, NumPy, and Matplotlib, you will enhance your ability to create visualisations and interpret statistical results, equipping you to effectively contribute to data-driven projects in any professional context.

A quién va dirigido

This course is aimed at professionals and graduates in the field who are eager to enhance or refresh their knowledge of data analysis using Python. Ideal for those with a foundational understanding of data science, it provides practical skills and insights into Python's powerful tools and libraries, enabling participants to efficiently analyse and interpret data.

Metodología

Aprendizaje 100% online

Plataforma web en la que se encuentra todo el contenido de la acción formativa. A través de ella podrá estudiar y comprender el temario mediante actividades prácticas, autoevaluaciones y una evaluación final.