ON-DEMAND LIVE SESSIONS + VIDEO LECTURES
Advanced Certification in Data Science and AI
Live Online Sessions | 1-on-1 Mentoring | Self-paced Video Lectures
Accelerate your Data Science career by enrolling in the exclusive Data Scientist training course offered by Janets, UK. Experience world-class Data Science training from a world-class professional on the most in-demand Data Science and Machine Learning skills.
Application Deadline: 31st October, 2021
77,000+
Students Trained
2 Months
2 Hours/Week
Oct 31, 2021
Application Deadline
Flexible Payment
Options Available
24x7 Support
Expert Support
Key Highlights of the Course
- 8+ Hours of Live Class
- 60+ Hours of Videos
- 1-on-1 Mentoring Sessions
- MCQ Based Assessments
- 11 unique courses
- 4 FREE Quality License Scheme Certificates
- Get Webinar Recording
- Free Excel Video & Time Management Lessons
- 0% EMI Option Available
- Live Projects
- Quiz Competition
- Laptop for a Winner of Competition
Get familiar with our Advanced Certification in Data Science and AI syllabus.
Live Classes + Video Lessons + Real-Life Projects
The participants will get everything with our comprehensive training:
- They will get access to our 11 unique courses immediately after the registration.
- They will attend our live classes to learn industry-oriented knowledge and solve their data science issues.
- All of the learners will get 1 to one mentoring sessions for solving their subject related problems.
- The learners can attend our collaboration sessions, practice with real-life projects and so on.
Janets Alumni Work At
Get familiar with our Advanced Certification in Data Science and AI syllabus.
Whether you have been using Microsoft Office but need a reminder of this tool or you are totally new to this tool-we can here to help! Our dedicated team decided to arrange a webinar for those who are interested to learn about Microsoft Office, Power BI and other relevant skills to grow their professional career.
We choose Mr. AAAA, one of the professional leaders, to take your live webinar session. You will learn your essential skills that are described in-depth for your better understanding.
We choose Mr. AAAA, one of the professional leaders, to take your live webinar session. You will learn your essential skills that are described in-depth for your better understanding.
Get Detailed Course Syllabus:
Week 1
Day-01: Python for Data Science
Week 2
Day-03: ML fundamentals and Data Preprocessing
Week 3
Day 05: Machine Learning: Classification Algorithms
Week 4
Day 07: Model Optimization, Deployment and Scale
Day-01: Python for Data Science
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- Overview of Python programming(Data Type, Loop, Function, Modules etc.)
- EDA(Numpy, Pandas, Matplotlib)
- Basic Statistics
- Linear Algebra
Week 2
Day-03: ML fundamentals and Data Preprocessing
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- ML Problem Framing and Production level Project Timeline
- Handling Missing Values, encoding etc.
- Feature selection and dataset preparation for the ML Models
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- Regression Algorithms
- Real Life projects walkthrough
Week 3
Day 05: Machine Learning: Classification Algorithms
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- Classification Algorithms
- Real Life projects walkthrough
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- Bias, variance, underfitting, overfitting etc.
- Model Tuning
Week 4
Day 07: Model Optimization, Deployment and Scale
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- Production Level Model Deployment in cloud
- Real Life projects walkthrough
- Tensorflow Overview
- Neural Networks and deep learning
- Real Life projects walkthrough
- Learn Python 3 Complete Masterclass
- Statistics
- Data Science and Machine Learning using Python : A Bootcamp
- Data Analytics with Tableau
- Microsoft Power BI – Master Power BI in 90 Minutes!
- Microsoft Office 2016 Excel Beginner to Advanced
- Business Analysis
- Business Intelligence and Data Mining
- Diploma in Computer Science and Programming
- Mastering SQL Programming
- Time Management
Get Detailed Course Syllabus:
- Start With Video Lectures
- Subject-matter experts teach core concepts
- Self paced learning
- Theory and practical concepts are discussed
- Attend Live Sessions
- Allows you to go through concepts taught in video lectures again
- As needed, trainers present live dashboard simulations
- Trainers assist with personalised solutions for practical problems
- 1-on-1 Mentoring
- Personalised mentoring sessions are available for every live classes
- Enables you to get answers to any further doubts or queries
- Avail personalised mentoring via Zoom or Google Meet
Meet Our Tutor
John Harper
Cambridge Python and Machine Learning Engineer/entrepreneur
John Harper is a machine learning engineer, a Python programmer, and a tech entrepreneur who has won numerous awards. A recent scholar at the prestigious Pi School in Rome for Artificial Intelligence. Trained at Cambridge University, Accelerate Cambridge, and a recent scholar at the Prestigious Pi School in Rome for Artificial Intelligence.
He is passionate about teaching others and empowering them to create wonderful things using Data Science, Python and AI.
He believes that as a community, we can give far better resources to assist people in learning, mastering, and enjoying programming and AI Engineering.
Industry Recognised
Certification from Janets
By the end of this comprehensive online live and recorded sessions, you will master all elements from beginner to advanced levels and earn a certificate of accomplishment from Janets. You will also receive certificates after completing all of our video classes.
Words That Matter To Us
Whenever I think of quality education now, I think of Janets instantly. I’ve done so many courses in my free time and learned so much! Thank you Janets, for redefining online education for me!
Patricia Smith
They provide accredited certificates immediately after completing a course, which is really cool. Their certificate helped me get a job this year, so I can’t express how much I owe to them.
Ethan Campbell
I heard about Janets from a friend of mine, who got a promotion with a certificate from them. Then I started doing courses with them and I must say — their courses are quite affordable yet high in quality! Their course catalogue is quite diverse too, which I liked the most.
Susan Wright
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