Global Certificate Course in Feature Engineering for Business Intelligence

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International applicants and their qualifications are accepted

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Overview

Overview

Global Certificate Course in Feature Engineering for Business Intelligence is designed to equip professionals with the essential skills to extract valuable insights from data. This course is ideal for data analysts, business intelligence professionals, and data scientists looking to enhance their expertise in feature engineering. Learn how to select, transform, and create features to improve model performance and drive better business decisions. Join us to master the art of feature engineering and take your data analysis skills to the next level!

Feature Engineering for Business Intelligence is essential for professionals looking to excel in data-driven decision-making. Our Global Certificate Course offers in-depth training on extracting valuable insights from data, enhancing predictive modeling, and optimizing business strategies. Gain hands-on experience with industry tools and techniques, boosting your analytical skills and marketability. Unlock lucrative career prospects as a data scientist, business analyst, or BI developer. With a focus on real-world applications and cutting-edge methodologies, this course equips you with the expertise to drive business success through data. Elevate your career with our Feature Engineering course today!

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

  • • Introduction to Feature Engineering
  • • Data Preprocessing Techniques for Feature Engineering
  • • Feature Selection Methods in Business Intelligence
  • • Handling Missing Data in Feature Engineering
  • • Encoding Categorical Variables for Business Intelligence
  • • Feature Scaling and Normalization for Machine Learning
  • • Dimensionality Reduction Techniques for Feature Engineering
  • • Time Series Feature Engineering for Business Intelligence
  • • Text Data Feature Engineering for NLP Applications
  • • Feature Engineering Best Practices and Case Studies

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Global Certificate Course in Feature Engineering for Business Intelligence

The Global Certificate Course in Feature Engineering for Business Intelligence is designed to equip participants with the necessary skills to extract, transform, and select features from raw data to improve the performance of machine learning models. By the end of the course, students will be able to understand the importance of feature engineering in data analysis and apply various techniques to enhance the quality of data for predictive modeling.

The duration of the course is typically 6-8 weeks, with a combination of online lectures, hands-on exercises, and real-world projects. Participants will have the opportunity to work on industry-relevant case studies and gain practical experience in feature engineering for business intelligence applications.

This certificate course is highly relevant to professionals working in data science, business analytics, and artificial intelligence fields. It is also beneficial for individuals looking to enhance their skills in data preprocessing, feature selection, and model optimization for better decision-making in organizations.

Why this course?

Year Number of Businesses
2018 15,000
2019 20,000
2020 25,000
The Global Certificate Course in Feature Engineering for Business Intelligence is becoming increasingly significant in today's market, especially in the UK where the number of businesses utilizing feature engineering has been steadily increasing. According to recent statistics, in 2018, there were 15,000 businesses using feature engineering, which grew to 20,000 in 2019 and further to 25,000 in 2020. This trend highlights the growing importance of feature engineering in business intelligence, as companies seek to extract valuable insights from their data to make informed decisions. Professionals and learners looking to stay competitive in the market can benefit greatly from acquiring skills in feature engineering through a comprehensive course that covers the latest techniques and tools. By understanding how to effectively engineer features for business intelligence, individuals can enhance their analytical capabilities and drive better outcomes for their organizations.

Who should enrol in Global Certificate Course in Feature Engineering for Business Intelligence?

Ideal Audience
Professionals in the field of business intelligence looking to enhance their skills in feature engineering for data analysis and decision-making.
Individuals seeking to advance their career prospects in the competitive UK job market, where data-driven insights are highly valued.
Students and recent graduates aiming to stand out to employers by mastering the latest techniques in data preprocessing and feature selection.