What you'll get
- 232+ Hours
- 61 Courses
- Mock Tests
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Introduction to fundamental Machine Learning (ML) concepts and algorithms.
- Implement ML solutions using Python and R.
- Apply ML techniques within Microsoft Excel.
- Practical learning by working on industry-relevant projects and real-life case studies.
- Dive into cutting-edge areas including natural language processing, computer vision, and reinforcement learning.
- Learn model evaluation, optimization, and deployment strategies.
- Reinforce knowledge with quizzes and mock assessments.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Overview of Machine Learning Certification | 1m | ✔ | View Curriculum |
| Artificial Intelligence with Python - Beginner Level | 2h 51m | ✔ | View Curriculum |
| Artificial Intelligence with Python - Intermediate Level | 4h 34m | ✔ | View Curriculum |
| ChatGPT Complete MasterClass - 2023 | 4h 57m | ✔ | View Curriculum |
| Machine Learning with Scikit Learn | 8h 37m | ✔ | View Curriculum |
| Basic Excel Training 2019 | 6h 44m | ✔ | View Curriculum |
| Machine Learning with R 2022 | 3h 05m | ✔ | View Curriculum |
| Machine Learning with Python Course | 5h 17m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Machine Learning using Python | 3h 26m | ✔ | View Curriculum |
| Project on Machine Learning - Covid19 Mask Detector | 2h 05m | ✔ | View Curriculum |
| Machine Learning Project - Auto Image Captioning for Social Media | 2h 31m | ✔ | View Curriculum |
| Develop Movie Recommendation Engine using Machine Learning | 51m | ✔ | View Curriculum |
| Data Science with Python Project-Predict Diabetes on Diagnostic Measures | 1h 02m | ✔ | View Curriculum |
| Predictive Modeling with Python | 8h 26m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Machine Learning with R | 20h 25m | ✔ | View Curriculum |
| Business Analytics - Forecasting using R | 4h 34m | ✔ | View Curriculum |
| Fraud Analytics using R & Microsoft Excel | 2h 34m | ✔ | View Curriculum |
| Marketing Analytics using R and Microsoft Excel | 2h 9m | ✔ | View Curriculum |
| Customer Analytics using R and Tableau | 2h 7m | ✔ | View Curriculum |
| Pricing Analytics using R and Tableau | 2h 39m | ✔ | View Curriculum |
| Project on K-Means Clustering | 43m | ✔ | View Curriculum |
| Machine Learning Project in Python | 1h 58m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Statistical Tools in Microsoft Excel | 1h 11m | ✔ | View Curriculum |
| Advanced Excel Training 2019 | 9h 21m | ✔ | View Curriculum |
| Microsoft Excel Charts and SmartArt Graphics | 6h 43m | ✔ | View Curriculum |
| Power Excel Training | 5h 15m | ✔ | View Curriculum |
| Microsoft Excel Reports | 7h 7m | ✔ | View Curriculum |
| Mastering Microsoft Excel Date and Time | 2h 47m | ✔ | View Curriculum |
| Date and Time Functions Microsoft Excel Training | 2h 37m | ✔ | View Curriculum |
| Shortcuts in Microsoft Excel | 24m | ✔ | View Curriculum |
| Graphs & Charts in Microsoft Excel 2013 Training | 2h 6m | ✔ | View Curriculum |
| Financial Functions In Excel - Microsoft Excel 2013 Course | 2h 36m | ✔ | View Curriculum |
| Microsoft Excel Solver Tutorial | 48m | ✔ | View Curriculum |
| Microsoft Excel for Financial Analysis | 49m | ✔ | View Curriculum |
| Microsoft Excel for Data Analyst | 2h 35m | ✔ | View Curriculum |
| Business Intelligence using Microsoft Excel | 5h 06m | ✔ | View Curriculum |
| Microsoft Excel Simulations Training | 2h 06m | ✔ | View Curriculum |
| Power BI | 10h 34m | ✔ | View Curriculum |
| Power BI: Software for Data Visualization | 3h 3m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Machine Learning Project #1 - Shipping and Time Estimation | 2h 29m | ✔ | View Curriculum |
| Machine Learning Project #2 - Supply Chain-Demand Trends Analysis | 1h 09m | ✔ | View Curriculum |
| Machine Learning Project #3 - Predicting Prices using Regression | 2h 18m | ✔ | View Curriculum |
| Machine Learning Project #5 - Fraud Detection in Credit Payments | 1h 51m | ✔ | View Curriculum |
| Machine Learning Project #4 - Banking and Credit Frauds | 44m | ✔ | View Curriculum |
| Machine Learning Project-Churn Prediction | 1h 22m | ✔ | View Curriculum |
| Random Forest Algorithm in Machine Learning | 1h 27m | ✔ | View Curriculum |
| Predictive Modeling with Python | 8h 26m | ✔ | View Curriculum |
| Machine Learning Case Studies | 4h 5m | ✔ | View Curriculum |
| Data Science with Python Project-Predict Diabetes on Diagnostic Measures | 1h 02m | ✔ | View Curriculum |
| ggplot2 Project | 2h 07m | ✔ | View Curriculum |
| HR Attrition Using R Project | 2h 08m | ✔ | View Curriculum |
| Credit-Default using Logistic Regression | 3h 3m | ✔ | View Curriculum |
| House Price Prediction using Linear Regression | 3h 2m | ✔ | View Curriculum |
| Poisson Regression Project using SAS Stat | 2h 21m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Machine Learning with Tensorflow for Beginners | 13h 39m | ✔ | View Curriculum |
| Comprehensive Deep Learning Training | 11h 17m | ✔ | View Curriculum |
| Machine Learning with MATLAB | 2h 15m | ✔ | View Curriculum |
| Machine Learning Case Studies | 4h 5m | ✔ | View Curriculum |
| Bayesian Machine Learning: A/B Testing | 57m | ✔ | View Curriculum |
| Octave Machine Learning Training Basic | 3h 35m | ✔ | View Curriculum |
| Artificial Intelligence and Machine Learning Training Course | 12h 8m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| No courses found in this category. | |||
Description
This all-inclusive Machine Learning course empowers learners, whether new to the field or seasoned professionals, to master the skills required to thrive in today’s fast-paced ML landscape. The course offers a structured curriculum blending foundational concepts, practical exercises, and advanced ML applications. Learners acquire practical experience through real-world projects and interactive case studies, developing the ability to design, assess, and implement machine learning models across diverse domains using Python, R, and Excel.
The program emphasizes applied learning, ensuring participants can translate theoretical knowledge into actionable insights, making it ideal for professionals seeking career advancement or students aiming for expertise in ML and data science.
Sample Certificate
Goals
- Equip participants with a strong foundation in machine learning principles.
- Provide hands-on experience in Python, R, and Excel-based ML.
- Enable learners to build, evaluate, and deploy ML models in real-world scenarios.
- Prepare participants for advanced ML applications in various domains.
Objectives
After finishing the program, participants will be equipped to:
- Understand core ML concepts and algorithm types.
- Implement ML models using Python and R.
- Apply ML techniques within Excel for data analysis.
- Execute real-world ML projects from start to finish.
- Evaluate and optimize performance models.
- Explore advanced ML topics like NLP, computer vision, and reinforcement learning.
Highlights
- Hands-on practical exercises and live projects.
- Coverage of multiple platforms: Python, R, Excel.
- Real-world case studies for industry relevance.
- Personalized feedback on assignments and projects.
- Mock tests and quizzes to reinforce learning.
Requirements
- Basic programming knowledge (Python or R preferred).
- Understanding of mathematics and statistics: linear algebra, probability, basic calculus.
- Familiarity with Excel for data analysis.
- Curiosity and willingness to work on coding exercises and projects.
Target Audience
- Beginners aiming for a career in Machine Learning or Data Science.
- Students in Computer Science, Data Science, Statistics, or related fields.
- Professionals seeking to upskill in ML for career growth.
- Analysts, developers, and engineers applying ML to real-world projects.
- Anyone interested in learning ML across Python, R, and Excel.
FAQ
Q1. Do I need prior ML experience to join?
No, the course starts with foundational concepts suitable for beginners.
Q2. Which programming languages are used?
Python and R are the primary languages, along with ML applications in Excel.
Q3. Are there real-world projects included?
Yes, participants will work on hands-on projects, case studies, and interactive exercises.
Q4. Is this course suitable for professionals?
It helps both beginners and professionals who want to upskill.
Q5. Will I receive any certification?
Yes, participants receive a completion certificate validating their ML expertise.
Career Benefits
- Develop industry-ready ML skills for Python, R, and Excel.
- Build a strong portfolio through real-world projects.
- Gain practical experience in deploying ML models across domains.
- Prepare for advanced ML applications and certifications.
- Increase employability in roles such as ML Engineer, Data Scientist, AI Specialist, and Data Analyst.
