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Data Science and Machine Learning 

  • Offered byScaler

Data Science and Machine Learning
 at 
Scaler 
Overview

Gain a comprehensive overview of Data Science and Machine Learning

Duration

19 months

Start from

Start Now

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Data Science and Machine Learning
 at 
Scaler 
Highlights

  • Earn a certificate after completion of the course
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Data Science and Machine Learning
 at 
Scaler 
Course details

Who should do this course?

Professionals who want to enhance their analytical skills by leveraging machine learning techniques for business intelligence and decision-making

Those with a technical background who want to learn how to apply machine learning in real-world applications

What are the course deliverables?

Overview of data science and its applications across industries.

Data Preprocessing and Cleaning

Techniques for visualizing and summarizing datasets (e.g., histograms, scatter plots, heatmaps)

Natural Language Processing (NLP)

Build and deploy machine learning models that can solve real-world problems across various domains

More about this course

The Data Science and Machine Learning program is a comprehensive and practical course designed to equip participants with the foundational knowledge and advanced skills required to work in the rapidly growing field of data science and machine learning (ML)

This program focuses on transforming raw data into actionable insights and building predictive models using machine learning algorithms

It is ideal for professionals from diverse backgrounds, including business analysts, engineers, computer scientists, and others, who are keen to develop expertise in data-driven decision-making and intelligent automation

Data Science and Machine Learning
 at 
Scaler 
Curriculum

Module - 1

Beginner Module

Tableau + Excel

SQL

Python

 
Module - 2

Data Analysis and Visualization

Python libraries

Probability and Applied Statistics

Product Analytics

 
Module - 3

Foundations of Machine Learning and Deep Learning

Math for Machine Learning

Introduction to Neural Networks and Machine Learning
 
Module - 4

Specializations

Machine Learning 1: Supervised

Machine Learning 2: Unsupervised and Recommender systems

 
Module - 5

Machine Learning Ops

Streamlit
Flask
Containerisation, Docker
Experiment Tracking
MLFlow
 
Module - 6

Advanced Data Structures and Algorithms

Linked Lists
Stacks & Queues
Trees
Tries & Heaps

Data Science and Machine Learning
 at 
Scaler 
Admission Process

    Important Dates

    Dec 1, 2024
    Course Commencement Date

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    Data Science and Machine Learning
     at 
    Scaler 

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