Professional Certificate in STEM Data Science Fundamentals: Analytics Techniques

-- ViewingNow

The Professional Certificate in STEM Data Science Fundamentals: Analytics Techniques is a comprehensive course that equips learners with essential data science skills in high demand by industries worldwide. This program covers critical areas, including statistics, probability, data manipulation, and visualization using popular tools like Python, R, and SQL.

4,5
Based on 7 938 reviews

3 791+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

ร€ propos de ce cours

By earning this certificate, learners demonstrate their ability to apply analytical techniques to real-world problems, thereby enhancing their professional profile. The course's importance lies in its focus on building a strong foundation in data science fundamentals, enabling professionals to excel in various roles such as data analyst, business intelligence analyst, or data scientist. In today's data-driven world, organizations rely heavily on data-informed decision-making, making this certificate course an invaluable asset for career advancement. Learners will gain hands-on experience working with complex datasets, preparing them to tackle challenges and seize opportunities in the rapidly evolving STEM field.

100% en ligne

Apprenez de n'importe oรน

Certificat partageable

Ajoutez ร  votre profil LinkedIn

2 mois pour terminer

ร  2-3 heures par semaine

Commencez ร  tout moment

Aucune pรฉriode d'attente

Dรฉtails du cours

โ€ข Unit 1: Introduction to STEM Data Science Fundamentals
โ€ข Unit 2: Data Collection and Preprocessing
โ€ข Unit 3: Statistical Analysis for Data Science
โ€ข Unit 4: Data Visualization Techniques
โ€ข Unit 5: Descriptive and Inferential Analytics
โ€ข Unit 6: Supervised Learning Algorithms
โ€ข Unit 7: Unsupervised Learning Algorithms
โ€ข Unit 8: Evaluation Metrics for Data Science Models
โ€ข Unit 9: Data Science Ethics and Bias Mitigation
โ€ข Unit 10: Real-world Applications of STEM Data Science

Parcours professionnel

In the UK, the demand for STEM data science skills is soaring, with various job roles experiencing significant growth. This 3D pie chart provides a snapshot of the current job market trends, highlighting the percentage of each role in the data science field. 1. Data Scientist: As one of the most sought-after roles, data scientists are experts at extracting insights from complex data sets. They typically hold degrees in fields like statistics, mathematics, or engineering and are proficient in programming languages such as Python, R, and SQL. 2. Data Analyst: Data analysts collect, process, and perform statistical analyses on data to help companies make informed decisions. They may work with data visualization tools, Excel, and SQL. 3. Data Engineer: Data engineers build and maintain the data infrastructure required for data scientists and analysts to perform their work. They typically have strong software engineering and database management skills. 4. Business Intelligence Analyst: These professionals use data analysis to optimize business processes and performance. They may work with data visualization, reporting, and business process management tools. 5. Statistician: Statisticians specialize in the collection, analysis, and interpretation of data. They possess strong mathematical and analytical skills, often working with statistical software like SAS and R. 6. Data Administrator: Data administrators manage data resources, ensuring data is accurate, secure, and accessible to users. They may work with database management systems and data governance tools. These roles showcase the diverse opportunities available in the UK's data science landscape. With strong demand and competitive salary ranges, pursuing a career in STEM data science fundamentals can lead to exciting and rewarding opportunities.

Exigences d'admission

  • Comprรฉhension de base de la matiรจre
  • Maรฎtrise de la langue anglaise
  • Accรจs ร  l'ordinateur et ร  Internet
  • Compรฉtences informatiques de base
  • Dรฉvouement pour terminer le cours

Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.

Statut du cours

Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :

  • Non accrรฉditรฉ par un organisme reconnu
  • Non rรฉglementรฉ par une institution autorisรฉe
  • Complรฉmentaire aux qualifications formelles

Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.

Pourquoi les gens nous choisissent pour leur carriรจre

Chargement des avis...

Questions frรฉquemment posรฉes

Qu'est-ce qui rend ce cours unique par rapport aux autres ?

Combien de temps faut-il pour terminer le cours ?

WhatSupportWillIReceive

IsCertificateRecognized

WhatCareerOpportunities

Quand puis-je commencer le cours ?

Quel est le format du cours et l'approche d'apprentissage ?

Frais de cours

LE PLUS POPULAIRE
Voie rapide : GBP £140
Complรฉter en 1 mois
Parcours d'Apprentissage Accรฉlรฉrรฉ
  • 3-4 heures par semaine
  • Livraison anticipรฉe du certificat
  • Inscription ouverte - commencez quand vous voulez
Start Now
Mode standard : GBP £90
Complรฉter en 2 mois
Rythme d'Apprentissage Flexible
  • 2-3 heures par semaine
  • Livraison rรฉguliรจre du certificat
  • Inscription ouverte - commencez quand vous voulez
Start Now
Ce qui est inclus dans les deux plans :
  • Accรจs complet au cours
  • Certificat numรฉrique
  • Supports de cours
Prix Tout Compris โ€ข Aucuns frais cachรฉs ou coรปts supplรฉmentaires

Obtenir des informations sur le cours

Nous vous enverrons des informations dรฉtaillรฉes sur le cours

Payer en tant qu'entreprise

Demandez une facture pour que votre entreprise paie ce cours.

Payer par Facture

Obtenir un certificat de carriรจre

Arriรจre-plan du Certificat d'Exemple
PROFESSIONAL CERTIFICATE IN STEM DATA SCIENCE FUNDAMENTALS: ANALYTICS TECHNIQUES
est dรฉcernรฉ ร 
Nom de l'Apprenant
qui a terminรฉ un programme ร 
London College of Foreign Trade (LCFT)
Dรฉcernรฉ le
05 May 2025
ID Blockchain : s-1-a-2-m-3-p-4-l-5-e
Ajoutez cette certification ร  votre profil LinkedIn, CV ou curriculum vitae. Partagez-la sur les rรฉseaux sociaux et dans votre รฉvaluation de performance.
SSB Logo

4.8
Nouvelle Inscription