Data Science and Machine Learning by CodingNomads: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based	Learning efforts 15-20 Hours Per Week

Course overview

The Learn Data Science + Machine Learning Online certification course is provided by CodingNomads. The online course in Learn Data Science + Machine Learning Online deals with topics such as Machine Learning algorithms, data science, data modeling, and evaluation, etc. Candidates who enrol in the course get to learn through the in-built study material that includes projects, quizzes, documentation pages, along video lectures.

The Learn Data Science + Machine Learning Online certification syllabus takes around 12 weeks of time to get completed if students decide to spend 5-15 hours per week. Students need to have just 3 months of work experience to apply for the course. Also, students must have basic python coding skills and knowledge of algebra to get into the programme. The Learn Data Science + Machine Learning Online classes by CodingNomads can also be joined freely at zero cost. The Learn Data Science + Machine Learning Online course allows flexibility and can be attended by the student at any time depending upon their schedules. In the end, students get to acquire a certificate of completion.

Course and certificate fees

certificate availability

Yes

certificate providing authority

CodingNomads

Eligibility criteria

Work Experience

Students need to have a minimum of 3 months of coding experience.

Education

Students who wish to enroll in this Learn Data Science + Machine Learning Online course must have Python and OOP programming skills as well as basic Algebra.

What you will learn

Machine learning Data science knowledge Data wrangling

Participants by the end of Learn Data Science + Machine Learning Online programme, will master a varied range of concepts that are given below:

Students will learn how to build and run machine learning models.
Candidates will be able to gather and process data in the Learn Data Science + Machine Learning Online certification.
Students will learn about feature extraction from different data types.
Participants will learn about ensemble methods in the Learn Data Science + Machine Learning Online classes.
Students will learn how to handle missing data in the Learn Data Science + Machine Learning Online training.
Candidates will get to know about data wrangling and preprocessing.

The syllabus

Data science, ML, and AI fundamentals

How to think like a data scientist
Artificial intelligence- what's with all the hype
How to discover and present a compelling story
Why AI and Machine Learning are so important

Tools of the trade

Jupyter notebooks to create and share your documentation
NumPy to perform numerical computing, including initialisation
Pandas to perform transformation and calculation of datasets
Mathematical and statistical functions
SciKit learn for Machine Learning
Matplotlib and seaborn for data visualization
Greek math notation, sums, and derivative reviews

Supervised learning

Linear regression: Bias variance tradeoff (overfitting vs underfitting), gradient descent, regularization, feature scaling.
Ensemble method: Bagging with random forests boosting with Adaboost

Unsupervised Learning

Clustering with K-means and DBScan
Dimensionality reduction with PCA

Model Evaluation & Validation

Training and test sets, baseline models, random seeds.
Classification with a decision tree: Gini impurity coefficient information gain ratio, regularization parameters
Classification metrics: Accuracy, precision, recall, f1-score, confusion matrices.
Hyperparameter tuning: Gridsearch, randomized search K-fold, shufflespit, leave-one-out, stratification learning and validation curves

Dealing with data

Feature extraction from different data types: Tabular, image, time series, natural language processing, computer vision
Data wrangling, cleaning, preprocessing
Data pipelines to avoid overfitting
Handling missing data
Normalisation and standardization

Admission details

Candidates can follow the given guidelines to get enrolled in the Learn Data Science + Machine Learning Online training:

Step 1- Click on the given link- https://codingnomads.com/course/data-science-machine-learning

Step 2- They must create their account on Coding Nomads.

Step 3- They must fill in the required details.

Step 4- They must pay the required amount and get started with the course.

How it helps

Candidates can join the Learn Data Science + Machine Learning Online certification course in online mode. The course is available as a free programme as well as in subscription mode. Students joining Learn Data Science + Machine Learning Online class will gain information on Machine Learning and Data Science. The video sessions can be completed within the period of 12 weeks and can be accessed at any time. Students will be able to receive a certification by the time the course comes to an end.

Students who acquire the certificate will get Learn Data Science + Machine Learning Online certification benefits. The certification is helpful in the job hunting process of the students. Candidates can apply for entry-level jobs or internships in the market by completing the programme. The certification can be used to pursue any other course that belongs to a similar industry or a higher level of the programme from the same platform. Students can make their CVs or resume attractive by including the achievement of the certification as highlights. This helps the CV look more promising and boosts the profile of the candidate that leading to creating a great first impression on the recruiter.