Scala Programming for Data Science

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1200+ Learners

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Scala Programming for Data Science

$572
1200+ Learners

Features

100+ hours of learning
Practice Test Included
Certificate of completion
Skill level

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What you'll learn

You will learn to make use of the Scala language to access databases, clean, analyze, and visualize data with Scala. Through our guided lectures and access to labs, you will get hands-on experience tackling fascinating data issues. This's an action-packed learning path for data science enthusiasts who wish to work on real-life problems with Scala.

Universally Recognized Certificates

DataTrained

Capstone and Real Life Projects

Access to 15 real life projects and a capstone project

Analytics Jobs Placement Assistance

Access to analyticsjobs.in curated jobs

Programming Languages and Tools Covered

Detailed Syllabus of Scala Programming for Data Science Course

Course 1: Scala Fundamentals

Learn the foundations of the language for developers and data scientists interested in using Scala for data analysis. Tackle data analysis problems involving Big Data, Scala and Spark. Get a solid understanding of the fundamentals of the language, the tooling, and the development process. Develop a good appreciation of more advanced features.

Course Content

Module 1 - Introduction

Introduction to Scala
Creating a Scala Doc
Creating a Scala Project
The Scala REPL
Scala Documentation

Module 3 - Case Objects and Classes

Companion Objects
Case Classes and Case Objects
Apply and Unapply
Synthetic Methods
Immutability and Thread Safety

Module 5 - Idiomatic Scala

1. For expressions
2. Pattern Matching
3. Handling Options
4. Handling Failures
5. Handling Futures

Module 2 - Basic Object Oriented Programming

Classes
Immutable and Mutable Fields
Methods
Default and Named Arguments
Objects

Module 4 - Collections

Collections overview
Sequences and Sets
Options
Tuples and Maps
Higher Order Functions

Course 2: Spark Overview for Scala Analytics

Learn the history of Apache Spark™, how to build applications with Spark, how to establish an understanding of RDDs and Data Frames, and other advanced Spark topics.

Be prepared to leverage the core RDD and DataFrame APIs to perform analytics on datasets with Scala.
Get an overview of Spark and its associated ecosystem.
Gain enough skills to leverage the Map-Reduce framework with the Scala language.

Course Content

Module 1 - What is Spark? Module 3 - Introduction to Data Frames Module 5 - Introduction to Spark MLlib

Module 2 - Introduction to RDDs Module 4 - Advanced Spark Topics

Course 3: Data Science for Scala

In this course you will learn about Basic statistics and data types, Preparing data, Feature engineering, Fitting a model and Pipelines and grid search. Apache Spark™ is a fast and general engine for large-scale data processing, with built-in modules for streaming, machine learning and graph processing. This course shows you how to use Sparks' machine learning pipelines to fit models and search for optimal hyperparameters using a Spark cluster.

Course Content

Module 1 - Basic Statistics and Data Types

Vectors and Labelled Points
Local and Distributed Matrices
Summary Statistics, Correlations, and Random Data
Sampling
Hypothesis Testing

Module 2 - Preparing Data

Statistics, Random data and Sampling on Data Frames
Handling Missing Data and Imputing Values
Transformers and Estimators
Data Normalization
Identifying Outliers

Module 3 - Feature Engineering

Feature Vectors
Categorical Features
Using Explode, User Defined Functions, and Pivot
Principal Component Analysis (PCA) in Feature Engineering
Formulas

Module 5 - Pipeline and Grid Search

Predicting Grant Applications: Introduction
Predicting Grant Applications: Creating Features
Predicting Grant Applications: Building a Pipeline
Predicting Grant Applications: Cross Validation and Model
Tuning Predicting Grant Applications: Wrapping up

Module 2 - Preparing Data

Statistics, Random data and Sampling on Data Frames
Handling Missing Data and Imputing Values
Transformers and Estimators
Data Normalization
Identifying Outliers

Module 4 - Fitting a Model

Decision Trees
Random Forests
Gradient-Boosting Trees
Linear Methods
Evaluation

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.

100+

Hours of Content

80+

Live Sessions

Tools and Software

Frequently Ask Questions

What is Scala in data science?

Scala is a high-level programming language that combines object-oriented and functional programming. Scala's static focus on enhancing complicated applications avoids bugs, and its JVM and JavaScript runtimes allow you to construct high-performance systems with simple access to a vast library ecosystem.

However, Apache Spark is one of the most compelling reasons to learn Scala for machine learning. Scala may be used in combination with Apache Spark to handle enormous amounts of data, often known as Big Data.

What is the Scala learning path?

The learning path of Scala should be in steps such as learning basics, its applications, jargon, etc. Our scala course is structured and defines a straight path to learn. Let's have a look at the module of our Scala course

Course 1. Scala Fundamentals
Course 2. Spark Overview for Scala Analytics
Course 3. Data Science for Scala

Is Scala good for data science?

Scala is good for data science. However, Python and R libraries are comprehensive but scala has its own advantages over python and R. These are advantages are:

Scala is 10 times faster than python
Scala’s framework and libraries are more powerful
Scala is good for working with big data
Scala makes use of spark effectively
It is easy to find complied errors in Scala

How long will it take to learn Scala

The length of time required to learn Scala is affected by whether or not you are already familiar with Java. Scala will take you around a month to learn if you already know Java. It will take you two to three months to grasp Scala if you are not already familiar with it.

According to several software professionals, Scala has a high learning curve. In Scala, there are numerous ways to achieve things, and it's a language that encourages creativity and flexibility. If you're a skilled programmer, and specifically you're familiar with Java, this may be quite useful. Working with a language that offers several ways of achieving the same thing might be tough if you are just getting started with programming.

what does the scala certification cost?

Scala certification cost depends on the location and academy. Our Scala certification is very cheap and affordable, however, we have not compromised on quality. Our Scala certification cost ₹19999.

Our mission is to provide quality education at an affordable with the best counseling session and industry interface. The benefits of enrolling in our course :

Universally recognized certification from DataTrained
Access to 15 real-life project
Job placement assistance

Is scala used for big data?

Yes, Scala is used for big data, In fact, Scala is specially designed for big data. Scala has libraries and tools for big data. Apache spark and apache Kafka are coded in Scala.

What are the refund terms?

You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms.

Scala Programming for Data Science

Scala Programming for Data Science

What you'll learn

Universally Recognized Certificates

Capstone and Real Life Projects

Analytics Jobs Placement Assistance

Programming Languages and Tools Covered

Detailed Syllabus of Scala Programming for Data Science Course

Course 1: Scala Fundamentals

Course 2: Spark Overview for Scala Analytics

Course 3: Data Science for Scala

Comprehensive Curriculum

Frequently Ask Questions

What is Scala in data science?

What is the Scala learning path?

Is Scala good for data science?

How long will it take to learn Scala

what does the scala certification cost?

Is scala used for big data?

What are the refund terms?

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