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Data Science Training

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

20 Apr 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Apr 2024 24 06:00 PM - 09:00 PM Sat, Sun
04 May 2024 24 06:00 PM - 09:00 PM Sat, Sun
11 May 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 390

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Instructor-led Training Live Online Classes

20 Apr 2024 24 06:00 PM - 09:00 PM Sat, Sun
27 Apr 2024 24 06:00 PM - 09:00 PM Sat, Sun
04 May 2024 24 06:00 PM - 09:00 PM Sat, Sun
11 May 2024 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 390

Enroll Now
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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

$ 390

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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
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.

Data Science Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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