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Professional Certificate in Predictive Analytics with Machine Learning
The course equips professionals with predictive analytics and machine learning skills, enabling data-driven decision-making and enhancing analytical capabilities in business.
1376 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
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2 months to complete
at 2-3 hours a week
Overview
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Learning outcomes
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Course content
1
Introduction To Predictive Analytics
2
Machine Learning Fundamentals
3
Data Preprocessing And Feature Engineering
4
Model Evaluation And Validation Techniques
5
Advanced Machine Learning Algorithms
6
Introduction To Predictive Analytics
7
Fundamentals Of Machine Learning
8
Data Preprocessing And Exploration
9
Supervised Learning Techniques
10
Unsupervised Learning Techniques
11
Model Evaluation And Selection
12
Time Series Analysis
13
Feature Engineering And Selection
14
Deployment Of Predictive Models
15
Ethics In Data Science And Analytics
16
Data Preparation
17
Data Exploration
18
Feature Engineering
19
Model Selection
20
Model Evaluation
21
Classification Algorithms
22
Regression Algorithms
23
Clustering Algorithms
24
Dimensionality Reduction
25
Time Series Analysis
26
Data Preprocessing
27
Statistical Analysis
28
Supervised Learning
29
Unsupervised Learning
30
Model Evaluation
31
Feature Selection
32
Time Series Analysis
33
Deep Learning
34
Natural Language Processing
35
Big Data Analytics
36
Data Preparation For Machine Learning
37
Introduction To Predictive Analytics
38
Supervised Machine Learning
39
Unsupervised Machine Learning
40
Evaluating Machine Learning Models
41
Feature Engineering
42
Time Series Analysis
43
Deep Learning Fundamentals
44
Natural Language Processing
45
Big Data Analytics.
46
Data Preprocessing
47
Supervised Learning
48
Unsupervised Learning
49
Model Evaluation
50
Feature Engineering
51
Regression Models
52
Classification Models
53
Clustering
54
Dimensionality Reduction
55
Natural Language Processing
Career Path
Key facts
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Why this course
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People also ask
There are no formal entry requirements for this course. You just need:
- A good command of English language
- Access to a computer/laptop with internet
- Basic computer skills
- Dedication to complete the course
We offer two flexible learning paths to suit your schedule:
- Fast Track: Complete in 1 month with 3-4 hours of study per week
- Standard Mode: Complete in 2 months with 2-3 hours of study per week
You can progress at your own pace and access the materials 24/7.
During your course, you will have access to:
- 24/7 access to course materials and resources
- Technical support for platform-related issues
- Email support for course-related questions
- Clear course structure and learning materials
Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.
Assessment is done through:
- Multiple-choice questions at the end of each unit
- You need to score at least 60% to pass each unit
- You can retake quizzes if needed
- All assessments are online
Upon successful completion, you will receive:
- A digital certificate from London School of International Business
- Option to request a physical certificate
- Transcript of completed units
- Certification is included in the course fee
We offer immediate access to our course materials through our open enrollment system. This means:
- The course starts as soon as you pay course fee, instantly
- No waiting periods or fixed start dates
- Instant access to all course materials upon payment
- Flexibility to begin at your convenience
This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.
Our course is designed as a comprehensive self-study program that offers:
- Structured learning materials accessible 24/7
- Comprehensive course content for self-paced study
- Flexible learning schedule to fit your lifestyle
- Access to all necessary resources and materials
This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.
This course provides knowledge and understanding in the subject area, which can be valuable for:
- Enhancing your understanding of the field
- Adding to your professional development portfolio
- Demonstrating your commitment to learning
- Building foundational knowledge in the subject
- Supporting your existing career path
Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.
This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/body.
What you will gain from this course:
- Knowledge and understanding of the subject matter
- A certificate of completion to showcase your commitment to learning
- Self-paced learning experience
- Access to comprehensive course materials
- Understanding of key concepts and principles in the field
While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.
Our course offers a focused learning experience with:
- Comprehensive course materials covering essential topics
- Flexible learning schedule to fit your needs
- Self-paced learning environment
- Access to course content for the duration of your enrollment
- Certificate of completion upon finishing the course
Why people choose us for their career
Jacob Thompson
USI can't express how much this course has helped me professionally. Coming from a non-technical background, I was able to grasp complex machine learning concepts and apply them in real-world scenarios. The predictive analytics tools and techniques I learned have significantly improved my data analysis skills. Highly recommended for anyone looking to upskill in this area!
Emily Watson
GBAs a working professional, the flexibility of this course was invaluable. The course content was relevant, engaging and covered a wide range of topics in predictive analytics. The practical assignments really helped me apply the theory and gain hands-on experience with various machine learning algorithms. I'm now able to make data-driven decisions and have seen a positive impact on my performance at work.
Liam Patel
INStanmore School of Business has truly outdone themselves with this course. The materials were comprehensive, up-to-date and allowed me to dive deep into predictive analytics and machine learning. The real-world examples and case studies were a great way to understand the practical applications of the concepts taught. I'm grateful for the opportunity to learn from industry experts and expand my knowledge in this field.
Grace Kim
USThis course exceeded my expectations in so many ways! The course content was detailed, informative and easy to follow. I particularly enjoyed learning about different machine learning algorithms and how to choose the right one for a specific problem. The course materials were relevant and helped me gain a solid understanding of predictive analytics. Overall, I'm very satisfied with my learning experience and would definitely recommend this course to anyone interested in machine learning!