Data Science and Machine Learning Program - Intermediate by Scaler Academy: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Virtual Classroom	Mode of Delivery Video Based

Course overview

Data Science and Machine Learning Program - Intermediate certification is 13 months of a programme that is a Scaler initiative. This programme does give the participants complete confidence, and knowledge from day one regarding the problems that are generally faced by the people data scientists or machine learning engineers. The students under this course will also be able to find out solutions for the challenges handled by the data scientists.

Data Science and Machine Learning Program - Intermediate training programme will encourage all the participants to make use of skills in data science to keep on solving business problems for their betterment. This course is made of a diverse curriculum which is imparted as live sessions held by industry leaders. The Scaler course is developed based on the insights of

50 famous tech companies, startups and around 100 data scientists, and ML engineers. The students undergo live sessions by mentors and experts that usually assist in getting placed with top companies in the field of technology with twice the salary hike for experienced personnel.

Course and certificate fees

Fees information

₹ 369,000 (Inclusive of GST)

Data Science and Machine Learning Program - Intermediate certification fee is Rs. 369,000

Data Science and Machine Learning Program - Intermediate Fee Structure

Description	Amount
Course Fee	Rs 369,000

certificate availability

Yes

certificate providing authority

Scaler Academy

Who it is for

Graduated students or working professionals with the proper intention of understanding the skills of coding using data science, and machine learning so that they in future can become machine learning engineers or even data scientists.

Eligibility criteria

Educational Qualification

The interested students to be eligible should have done with their graduation during or before the year, 2020.

What you will learn

Machine learning Data science knowledge

With the Data Science and Machine Learning Program - Intermediate certification syllabus, the participants will learn more advanced concepts in deep learning, structural analysis, big data, data analytics, and more. These students will try and overcome the different obstacles dealt with by data scientists, and work on problems statements that are real.

The syllabus

Data Analysis and Visualization

Python libraries

Numpy, Pandas
Matplotlib
Seaborn
Data Acquisition
Web API
Web Scraping
Beautifulsoup
Tweepy

Probability and Applied Statistics

Probability
Bayes Theorem
Distributions
Descriptive Statistics, outlier treatment
Confidence Interval
Central limit theorem
Hypothesis test, AB testing
ANOVA
Correlation
EDA, Feature Engineering, Missing value treatment
Experiment Design
Regex, NLTK, OpenCV

Product Analytics

Framework to address product sense questions
Diagnostics
Metrics, KPI
Product Design & Development
Guesstimates
Product Cases from Netflix, Stripe, Instagram

Foundations of Machine Learning and Deep Learning

Advanced Python

Python Refresher
Basics of Time and Space Complexity
OOPS
Functional Programming
Exception Handling and Modules

Math for Machine Learning

Classification
Hyperplane
Halfspaces
Calculus
Optimization
Gradient descent
Principal Component Analysis

Introduction to Neural Networks and Machine Learning

Introduction to Classical Machine Learning
Linear Regression
Polynomial, Bias-Variance, Regularisation
Cross Validation
Logistic Regression-2
Perceptron and Softmax Classification
Introduction to Clustering, k-Means
K-means ++, Hierarchical

Specializations

Machine Learning 1: Supervised

MLE, MAP, Confidence Interval
Classification Metrics
Imbalanced Data
Decision Trees
Bagging
Naive Bayes
SVM

Machine Learning 2: Unsupervised and Recommender systems

Intro to Clustering, k-Means
K-means ++, Hierarchical
GMM
Anomaly/Outlier/Novelty Detection
PCA, t-SNE
Recommender Systems
Time Series Analysis

Neural Networks

Perceptrons
Neural Networks
Hidden Layers
Tensorflow
Keras
Forward and Back Propagation
Multilayer Perceptrons (MLP)
Callbacks
Tensorboard
Optimization
Hyperparameter tuning

Computer vision

Convolutional Neural Nets
Data Augmentation
Transfer Learning
CNN
CNN hyperparameters tuning & BackPropagation
CNN Visualization
Popular CNN Architecture - Alex, VGG, ResNet, Inception, EfficientNet, MobileNet
Object Segmentation, Localisation, and Detection
Generative Models, GANs
Attention Models
Siamese Networks
Advanced CV

Natural Language Processing

Text Processing and Representation
Tokenization, Stemming, Lemmatization
Vector space modelling, Cosine Similarity, Euclidean Distance
POS tagging, Dependency parsing
Topic Modeling, Language Modeling
Embeddings
Recurrent Neural Nets
Information Extraction
LSTM
Attention
Named Entity Recognition
Transformers
HuggingFace
BERT

Machine Learning Ops

Streamlit
Flask
Containerisation, Docker
Experiment Tracking
MLFlow
CI/CD
GitHub Actions
ML System Design
AWS Sagemaker, AWS Data Wrangler, AWS Pipeline
Apache Spark
Spark MLlib

Advanced Data Structures and Algorithms

Linked Lists
Stacks & Queues
Trees
Tries & Heaps

Admission details

Find the Data Science and Machine Learning Program - Intermediate classes steps below:

Step 1: Follow Scaler’s official website: https://www.scaler.com/data-science-course/.

Step 2: On the home page of the official site, the students should find, and click on the ‘Apply Now’ button,

Step 3: Further the students have to fill a registration form.

Step 4: Next, an entrance test based on coding with MCQ questions are held for half an hour.

Step 5: As the results of this test are revealed, the candidate will be admitted, and the further procedure is informed.

Filling the form

There is a form for registration found on the Scaler website, which needs some details namely the email, full name, a correct phone number required for verification, and relevant information about the participant being or a college student or a working person. For seeking admission directly, students may use other social media accounts like Facebook, Linkedin, Github, or Google.

Scholarship Details

The learning journey with Scaler will allow the applicants scholarships worth Rs. 25,000 which shall be applicable when the students will be paying the fee of this programme.

How it helps

The Data Science and Machine Learning Program - Intermediate certification benefits are:

If there are any second thoughts in pursuing the course, during the trial period, the candidate has the option of exiting the programme.
This programme gives a special focus on bringing out the real outcomes on both the fronts of career and skill development.
There are around 600+ technology companies that are both startups, and already established ones that offer job offers.
One on one sessions by the mentors twice a month are conducted where all the questions or issues regarding the syllabus is resolved.
Every candidate is given guidance so that they are able to in global conferences, get their papers published.