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Become a Machine Learning/Data Science Professional
BY
CodingNomads
Learn advanced data manipulation, python, SQL, Data Science, ML, AI etc with 'Become a Machine Learning/Data Science ...Read more
Beginner
Part time, Online
12 Months
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course overview
The 'Become a Machine Learning/Data Science Professional' by CodingNomads is a fully online part time seven-month programme that has been made to teach the candidate advanced data manipulation techniques. ‘Become a Machine Learning/Data Science Professional’ course is a part of the Python and DSML (data science machine learning) certification programme that will involve intensive career support and unlimited one-to-one mentor support. The candidate will be able to build professional portfolio projects through the skills gained in the ‘Become a Machine Learning/Data Science Professional’ classes. The 'Become a Machine Learning/Data Science Professional' certification syllabus will draw the candidate deep into the fundamentals of programming with the emphasis to write professional code.
The highlights
- 12 month coursework
- Unlimited one to one support
- Intensive placement support
- Python + DSML certification
- Part-time programme
- Beginner friendly
- 24/7 Mentor support
Program offerings
- Video content
- Professional profile reviews
- Resume and cover letter templates
- Mock interviews
- Personal mentor
- Mini projects
- Capstone projects
- Lab exercises
- Quizzes
Course and certificate fees
certificate availability
Yes
certificate providing authority
CodingNomads
Who it is for
The 'Become a Machine Learning/Data Science Professional' certification course is for the following
- Candidates who want to begin a career track in machine learning and data science through Python programming.
- Corporate beginners to coding
Eligibility criteria
Certification Qualification Details
To obtain the 'Become a Machine Learning/Data Science Professional' training, the applicant must complete all of the portfolio projects, examinations, exercises, and a final capstone project.
What you will learn
Data science knowledge
Machine learning
Knowledge of python
Sql knowledge
The 'Become a Machine Learning/Data Science Professional' certification course is planned for the following:
- Create completely functioning Python programmes from the ground up that use APIs and SQL to ingest, analyse, and save data.
- Create end-to-end machine learning models for data analysis and decision-making.
- Learn how to increase your model's performance over time, process data, train and assess models, and modify parameters.
- When tackling a data challenge, the candidate will be able to think like a data scientist so that you can select the best technique for your specific assignment.
- Learn to use MySQL and PostgreSQL to model, develop, and maintain relational databases.
- Learn the command-line interface (CLI) and how to utilise Git and GitHub for version control.
- The candidate with much more comfort and confidence will be able to learn any other language or technology.
The syllabus
Python Programming
Data Science + ML
- Python Data Science Ecosystem: Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Jupyter Notebook
- Dealing with Data: wrangling, cleaning, preprocessing, normalization & standardization, feature extraction
- Fundamentals of Machine Learning
- Model Evaluation & Validation: Train and test data sets using validation schemes and curves, baseline models, appropriate metrics, confusion matrices
- Supervised Learning: Extract insights from labeled data with Linear Regression, Gradient Descent, Decision Trees, Bagging, Boosting
- Unsupervised Learning: Find patterns in unlabeled datasets with Dimensionality Reduction using PCA, Clustering with K-means and DBScan
Deep Learning
- Deep Learning fundamentals
- Machine Learning + Deep Learning toolkit: PyTorch, Matplotlib, Pandas, Numpy
- Computer vision and image classification with Convolutional Neural Networks (CNNs)
- Natural Language Processing (NLP) with Recurrent Neural Nets (RNNs)
- Deployment and the production environment
Admission details
Filling the form
In order to enroll, the following procedures must be done.
Step 1: Visit the official link and create an account for free.
Step 2: After account creation, the candidate will be able to contact the guidance team for any information.
Step 3: With the right choice, the candidate will be able to enroll in the programme and finalise the right choice of programme to enroll.
Step 4: After programme selection and payment, the candidate can begin enrollment and get full course access.
Scholarship Details
There is no information on financial help or scholarships in 'Become a Machine Learning/Data Science Professional' online course.
How it helps
The student in the 'Become a Machine Learning/Data Science Professional' programme is a highly professional level career track coursework that involves the twin benefits of making the participants skilled in Python language and at the same time, work on some of the most important areas of data science and machine learning. The candidate will be able to think like a developer with good knowledge of the tools of the trade. The programme will help the candidate build their own portfolios along with a capstone project with which he or she will be able to showcase it as a testimony to their abilities and skills. As a part-time programme, the course also helps people who are employed or have other priorities to enroll and learn the contents of the coursework.
FAQs
What are the benefits of the certification programme's capstone project?
The 'Become a Machine Learning/Data Science Professional' benefits the candidate’s portfolio with the capstone project which will be a good testimony of the skills obtained.
What is the course's level of difficulty?
The applicant will experience a beginner to intermediate level of difficulty in this 'Become a Machine Learning/Data Science Professional' online course.
What are some of the career level advantages provided for the candidate?
The students will be able to receive services such as career support guidance or advice, mock interviews, job search resources, resume or cover letter preparation.
What work options will be open to the individual after completing this CodingNomads programme?
The online 'Become a Machine Learning/Data Science Professional' online certification will help the candidate to be a top choice for getting into industry level jobs requiring machine learning and data science roles.
What are the advantages of the intensive mentored programme pathway?
The applicants on the tough mentored programme track will benefit from weekly 1:1 mentor assistance via chats, forums, and calls.
What are the benefits of a self-paced curriculum track for students?
'Become a Machine Learning/Data Science Professional' benefits the student with the flexibility to learn on their own time and at their own pace, with the option to request clarification on course content.
What distinguishes the mentorship help provided to candidates?
'Become a Machine Learning/Data Science Professional' certification gives students 24-hour access to academic-related questions and allows them to seek clarification as needed.
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