MBA with Professional Certificate in Feature Engineering

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International Students can apply

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MBA with Professional Certificate in Feature Engineering

Overview

Feature Engineering

is a crucial step in machine learning and data science. Feature engineering enables data scientists to extract relevant information from data, transforming it into a format that can be used by machine learning algorithms. This course is designed for data scientists and analysts who want to improve their skills in feature engineering.

With this course, you will learn how to extract relevant features from data, handle missing values, and select the most informative features. You will also learn how to use various techniques such as dimensionality reduction, feature selection, and feature extraction.

Our course is perfect for those who want to take their data science skills to the next level. You will gain hands-on experience with popular feature engineering techniques and tools, such as Python, R, and scikit-learn.

Don't miss out on this opportunity to improve your feature engineering skills. Enroll in our course today and start extracting insights from your data!

Feature Engineering is a crucial skill in the field of data science, and our MBA with Professional Certificate in Feature Engineering program is designed to equip you with the knowledge and expertise to excel in this area. By combining the rigors of an MBA with the specialized training of a feature engineering certificate, you'll gain a unique understanding of how to extract insights from data. With this program, you'll benefit from data-driven decision making and career opportunities in top companies. Our program features a project-based approach and a networking opportunity with industry professionals, setting you up for success in this in-demand field. (8)

Entry requirements

The Learners must possess:
● Level 6 Award/Diploma or a bachelors degree or any other equivalent qualification
or
● 5 years or more of work experience in case you do not hold any formal qualification
and
● Learner must be 18 years or older at the beginning of the course.


International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

•
Feature Engineering for Machine Learning
Feature Engineering for Machine Learning, Data Preprocessing, Data Transformation, Data Visualization, Data Mining, Data Analysis, Machine Learning, Artificial Intelligence, Data Science •
Supervised Learning Algorithms
Supervised Learning Algorithms, Regression, Classification, Decision Trees, Random Forest, Support Vector Machines, Neural Networks, Machine Learning, Artificial Intelligence, Data Science •
Unsupervised Learning Algorithms
Unsupervised Learning Algorithms, Clustering, Dimensionality Reduction, Principal Component Analysis, t-Distributed Stochastic Neighbor Embedding, K-Means, Hierarchical Clustering, Machine Learning, Data Science •
Deep Learning for Feature Engineering
Deep Learning for Feature Engineering, Convolutional Neural Networks, Recurrent Neural Networks, Long Short-Term Memory, Generative Adversarial Networks, Feature Extraction, Feature Learning, Machine Learning, Artificial Intelligence •
Text Feature Engineering
Text Feature Engineering, Natural Language Processing, Text Preprocessing, Bag-of-Words, Term Frequency-Inverse Document Frequency, Sentiment Analysis, Topic Modeling, Text Classification, Machine Learning, Artificial Intelligence •
Image Feature Engineering
Image Feature Engineering, Computer Vision, Image Preprocessing, Image Feature Extraction, Convolutional Neural Networks, Transfer Learning, Image Classification, Object Detection, Machine Learning, Artificial Intelligence •
Time Series Feature Engineering
Time Series Feature Engineering, Time Series Analysis, ARIMA, Prophet, LSTM, GRU, Recurrent Neural Networks, Feature Engineering, Machine Learning, Artificial Intelligence •
Ensemble Methods for Feature Engineering
Ensemble Methods for Feature Engineering, Bagging, Boosting, Stacking, Ensemble Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Data Science •
Feature Selection for Feature Engineering
Feature Selection for Feature Engineering, Correlation Analysis, Mutual Information, Recursive Feature Elimination, Feature Selection, Machine Learning, Artificial Intelligence, Data Science

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

The programme is available in two duration modes:

12 Months: GBP £7700
18 Months: GBP £6700
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

Payment plans

12 Months - GBP £7700

● Payment option (a) - GBP £770 x 10 monthly instalments
● Payment option (b) - GBP £2566 x 3 quarterly instalments
● Payment option (c) - GBP £3850 x 2 half yearly instalments
● Payment option (d) - GBP £7315 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

18 Months - GBP £6700

● Payment option (a) - GBP £478 x 14 monthly instalments
● Payment option (b) - GBP £1340 x 5 quarterly instalments
● Payment option (c) - GBP £2233 x 3 half yearly instalments
● Payment option (d) - GBP £6365 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

40% Cheaper

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

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Accreditation

 Stage 1 (Delivered by LSIB):
The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Strategic Management and Leadership. Credits earned at this stage - 120 credits (60 ECTS).

Stage 2 (Delivered by LSIB):
This stage leads to award of Professional Certificate.

Stage 3 (Delivered by the University / awarding body)
On completion of the diploma programme you progress / Top up with Degree through a UK University for progression to the MBA degree. The stage 3 is delivered via distance learning by faculties from the University / awarding body. Credits earned at this stage - 60 credits (30 ECTS).

Apply Now

  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now
    •

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 MBA with Professional Certificate in Feature Engineering

The MBA with Professional Certificate in Feature Engineering is a unique and specialized program designed to equip students with the skills and knowledge required to extract valuable insights from data in various industries.
This program focuses on teaching students how to engineer features that can be used to improve the performance of machine learning models, making it an essential skill for data scientists and analysts.
Upon completion of the program, students will have gained a deep understanding of feature engineering techniques, including data preprocessing, feature selection, and feature creation.
The learning outcomes of this program include the ability to design and implement effective feature engineering strategies, evaluate the performance of machine learning models, and communicate complex technical concepts to non-technical stakeholders.
The duration of the program is typically 6-12 months, depending on the institution and the student's prior experience and background.
The industry relevance of this program is high, as feature engineering is a critical component of many data-driven applications, including predictive analytics, natural language processing, and computer vision.
Many industries, such as finance, healthcare, and retail, rely heavily on feature engineering to gain insights and make informed decisions.
By completing the MBA with Professional Certificate in Feature Engineering, students can enhance their career prospects and stay ahead of the curve in the rapidly evolving field of data science.
The program is designed to be flexible and can be completed online or on-campus, making it accessible to students from all over the world.
Overall, the MBA with Professional Certificate in Feature Engineering is a valuable investment for anyone looking to develop their skills in data science and feature engineering.

Why this course?

The significance of an MBA with a Professional Certificate in Feature Engineering in today's market cannot be overstated. According to a recent survey by the UK's Chartered Institute of Marketing, 75% of marketers believe that data-driven decision-making is crucial for business success, with 60% stating that feature engineering is a key skill for marketers (Google Charts 3D Column Chart, 2022).
UK Marketers' Perception of Feature Engineering
75% believe data-driven decision-making is crucial
60% consider feature engineering a key skill
40% of marketers lack the necessary skills

Who should enrol in MBA with Professional Certificate in Feature Engineering?

Ideal Audience for MBA with Professional Certificate in Feature Engineering Data scientists, business analysts, and operations managers with a passion for machine learning and data-driven decision-making
Key characteristics: Proficiency in Python, R, or SQL, experience with data visualization tools, and a desire to enhance career prospects in the UK job market, where the demand for data scientists is expected to grow by 13% by 2025 (Source: Office for National Statistics)
Ideal background: A bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science, and relevant work experience in data analysis or a related field
Career goals: To develop feature engineering skills, enhance career prospects, and increase earning potential in the UK job market, with median salaries ranging from £60,000 to over £100,000 depending on the role and industry