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Data Science Training

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Elevate your career with Multisoft Virtual Academy's Data Science Training and Certification Course Online. Master the art of extracting insights from data, guided by industry experts. Gain hands-on experience, hone your skills, and earn a globally recognized certification. Transform your future in data science – enroll now for a journey of knowledge and success.

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Instructor-led Training Live Online Classes

Suitable batches for you

	19 Jul 2025	24	06:00 PM - 09:00 PM	Sat, Sun
	20 Jul 2025	24	06:00 PM - 09:00 PM	Sat, Sun

Course Price At

$ 450

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Build Your Own Schedule

Instructor-led Training Live Online Classes

	19 Jul 2025	24	06:00 PM - 09:00 PM	Sat, Sun
	20 Jul 2025	24	06:00 PM - 09:00 PM	Sat, Sun

Course Price At

$ 450

Enroll Now

Secure Transaction

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

Course Price At

$ 450

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Instructor-Led Online Training Parameters

Course Highlights

Duration: 24 Hrs
Subject Matter Expert
After Training Support
Lifetime E-Learning Access
Recorded Sessions
Free Online Assessments

One to One Training

Data Science Training Course Syllabus

Curriculum Designed by Experts

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Data Science allows the organizations to apply strategies on data and make the complex business issues get resolved. It sometimes involves the usage of mathematical and algorithms to extract the right information from the data. Hence, Data Science enables the organizations to make intelligent strategize for gaining profits.

The Data Science online course training from Multisoft Virtual Academy provides the knowledge of analyzing Big Data using R and Hadoop. Along with this, the expert trainers let the aspirants know about the Roles played by a Data Scientist and the Methodologies used for Big Data Analysis, as the part of Data Science online training.

In addition to this, the gain Data Science Certificate via online training course, the aspirants need to get acquainted with the following:

An introduction to data science
Machine Learning Overview
Implementing Association rule mining in R
Reading and Combining Data
Similarity Metrics
Decision Tree Classifier

The candidates willing to make their career in Big Data domain can also opt other online courses, namely Hadoop Data Analytics and Hadoop Developer

Through expert-led instruction, hands-on projects, and real-world applications, learners will develop the skills necessary to collect, analyze, interpret, and derive actionable insights from complex datasets.

Introduction to Data Science
Analytics Landscape
Life Cycle of a Data Science Projects
Data Science Tools & Technologies

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Measures of Central Tendency
Measures of Dispersion
Descriptive Statistics
Probability Basics
Marginal Probability
Bayes Theorem
Probability Distributions
Hypothesis Testing

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Install Anaconda
Data Types & Variables
String & Regular Expressions

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Python list
Python dictionaries
Python set
Python tuple
Comprehensions

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For Loop
While Loop
Break Statement
Next Statements
Repeat Statement
if, if…else Statements
Switch Statement

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Writing your own functions (UDF)
Calling Python Functions
Functions with Arguments
Calling Python Functions by passing Arguments
Lambda Functions
Classes & Objects

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Reading files with Python
Writing files from Python
Reading files using Pandas library
Saving Data using Pandas library

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Clean & Prepare Datasets
Manipulate DataFrame
Summarize Data
Churn Insights from Data

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Charts using Matplotlib
Charts using Seaborn
Charts using ggplot

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ANOVA
Linear Regression (OLS)
Case Study: Linear Regression
Principal Component Analysis
Factor Analysis
Case Study: PCA/FA
Logistic Regression (MLE)
Case Study: Logistic Regression
K-Nearest Neighbor Algorithm
Case Study: K-Nearest Neighbor Algorithm
Decision Tree
Case Study: Decision Tree

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Understand Time Series Data
Visualizing Time Series Components
Exponential Smoothing
Holt's Model
Holt-Winter's Model
ARIMA
Case Study: Time Series Modeling on Stock Price

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What is Machine Learning?
Supervised Learning
Unsupervised Learning
Using Scikit-learn
Scikit-learn classes
Case Study: Machine Learning Algorithm

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Data Science Training Description

The Data Science Training & Certification Course aims to equip participants with comprehensive knowledge and practical skills essential for navigating the multifaceted domain of data science. Through expert-led instruction and hands-on projects, this course endeavors to:

Develop Proficiency: Enable participants to comprehend foundational concepts, methodologies, and tools essential in data science.
Practical Application: Facilitate hands-on experience through real-world projects, enabling learners to apply data science techniques across various domains.
Data Analysis & Interpretation: Foster the ability to collect, clean, analyze, and interpret data sets using industry-standard tools and techniques.
Machine Learning Mastery: Introduce machine learning algorithms and models for predictive analysis, classification, regression, and clustering tasks.
Effective Communication: Cultivate skills to effectively communicate complex findings and insights derived from data analysis to diverse stakeholders.

Aspiring Data Scientists
Statisticians
Business Analysts
Data Analysts
IT Professionals
Software Developers
Machine Learning Enthusiasts

Here are some typical prerequisites for a Data Science Training & Certification Course:

Foundational Knowledge in Mathematics and Statistics: A good understanding of mathematical concepts like calculus, linear algebra, probability, and statistics is essential for comprehending data science algorithms and methodologies.
Programming Proficiency: Familiarity with programming languages such as Python, R, or SQL is crucial for data manipulation, analysis, and visualization tasks. Prior coding experience will be beneficial.
Understanding of Data Concepts: Basic knowledge of databases, data structures, and data formats is helpful to comprehend data handling, storage, and retrieval procedures.
Critical Thinking and Problem-Solving Skills: Ability to think analytically, solve problems, and approach complex issues logically is important in data science.
Domain Knowledge (Optional): Depending on the course specialization, familiarity with the specific industry or domain (e.g., finance, healthcare, marketing) might be advantageous.
Commitment and Dedication: Data science involves continuous learning and application. Being committed to the course and dedicating time for practice and projects is vital for success.

Data Science Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.