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Data Analytics with Python Training

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Enroll in Multisoft Virtual Academy's Data Analytics with Python Training. Learn from expert instructors, engage in hands-on projects, and gain the skills needed to analyze and interpret complex data. Transform your career with valuable insights and industry-recognized certification. Join now!

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Instructor-led Training Live Online Classes

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22 Dec 2024	30	06:00 PM - 09:00 PM	Sat, Sun
28 Dec 2024	30	06:00 PM - 09:00 PM	Sat, Sun
29 Dec 2024	30	06:00 PM - 09:00 PM	Sat, Sun

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Instructor-led Training Live Online Classes

22 Dec 2024	30	06:00 PM - 09:00 PM	Sat, Sun
28 Dec 2024	30	06:00 PM - 09:00 PM	Sat, Sun
29 Dec 2024	30	06:00 PM - 09:00 PM	Sat, Sun

Course Price At

$ 550

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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.

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Course Highlights

Duration: 24 Hrs.
Subject Matter Expert
After Training Support
Lifetime e-Learning Access
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Free Online Assessments

One to One Training

Data Analytics with Python Training Course Syllabus

Curriculum Designed by Experts

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Multisoft Virtual Academy's Data Analytics with Python Training offers a robust educational experience designed to equip professionals with the skills necessary to excel in the field of data analysis. This course delves deep into the practical applications of Python, one of the most popular programming languages in the data science community, due to its simplicity and versatility. Participants will start with the basics of Python programming and gradually advance to more complex data analytics techniques. The curriculum covers essential topics such as data manipulation, data visualization, statistical analysis, and predictive modeling using Python libraries like NumPy, pandas, Matplotlib, and scikit-learn. Each module is crafted to ensure that learners gain hands-on experience through real-world datasets and case studies, enhancing their ability to make data-driven decisions effectively.

The training is delivered via live online sessions led by industry experts, providing an interactive learning environment. Students can also access a wealth of resources including webinars, tutorial videos, and extensive support from instructors. Upon completion of the course, learners receive a certification from Multisoft Virtual Academy, recognizing their proficiency in data analytics using Python. This course is ideal for aspiring data analysts, marketing professionals, and anyone interested in harnessing the power of data analytics to advance their career.

Data Analytics with Python training equips learners with essential skills to analyze, visualize, and interpret data using Python. It covers data manipulation, statistical analysis, and predictive modeling, empowering professionals to extract actionable insights and make data-driven decisions in various industries.

Define Python
Overview of Python
Understand why Python is Popular
Setup Python Environment
Understand Operands and Expressions
The Companies using Python
Different Applications where Python is Used
Discuss Python Scripts on UNIX/Windows
Values, Types, Variables
Operands and Expressions
Conditional Statements
Loops
Command Line Arguments
Writing to the Screen
Write your First Python Program
Understand Command Line Parameters and Flow Control

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Python files I/O Functions
Numbers
Strings and related operations
Tuple - properties, related operations, compared with list
List - properties, related operations
Dictionary - properties, related operations
Set - properties, related operations

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Understand Python Standard Libraries
Packages and Module - Modules, Import Options, sys Path
Functions - Syntax, Arguments, Keyword Arguments, Return Values
Function Parameters
Global Variables
Variable Scope and Returning Values
Lambda - Features, Syntax, Options, Compared with the Functions
Sorting - Sequences, Dictionaries, Limitations of Sorting
Errors and Exceptions - Types of Issues, Remediation
Object Oriented Concepts
Modules Used in Python
The Import Statements
Module Search Path
Package Installation Ways
Errors and Exception Handling
Handling Multiple Exceptions

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Create arrays using NumPy
Perform various operations on arrays and manipulate them
Indexing slicing and iterating
Read & write data from text/CSV files into arrays and vice-versa
Create Series and Data Frames in Pandas
Data structures & index operations in pandas
Importing and exporting data
Indexing and slicing of data structures in pandas
Reading and Writing data from Excel/CSV formats into Pandas
Create simple plots in matplotlib
Grids, axes, plots, Markers, colours, fonts and styling
Types of plots - bar graphs, pie charts, histograms, Contour plots
Choose the right plot format for a problem at hand judiciously
Scale and add style to your plots

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Basic Functionalities of a data object
Merging of Data objects
Concatenation of data objects
Types of Joins on data objects
Exploring a Dataset
Analysing a dataset

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Essential Python Revision
Necessary Machine Learning Python libraries
What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Linear regression
List the categories of Machine Learning
Illustrate Supervised Learning Algorithms
Identify and recognize machine learning algorithms around us

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Understand What is Supervised Learning?
Define Classification
What is Classification and its use cases?
What is Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?
Illustrate Logistic Regression & Polynomial Regression

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Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Scaling
Factor Analysis
Scaling dimensional model
LDA

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What is Naïve Bayes?
How Naïve Bayes works?
Implementing Naïve Bayes Classifier
What is Support Vector Machine?
Illustrate how Support Vector Machine works?
Hyperparameter Optimization
Grid Search vs Random Search
Implementation of Support Vector Machine for Classification

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What is Clustering & its Use Cases?
What is K-means Clustering?
How K-means algorithm works?
How to do optimal clustering
What is C-means Clustering?
What is Hierarchical Clustering?
How Hierarchical Clustering works?

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What are Association Rules?
Association Rule Parameters
Apriori Algorithm
Market Basket Analysis
Calculating Association Rule Parameters
Recommendation Engines
How Recommendation Engines work?
Collaborative Filtering
Content Based Filtering

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Data Analytics with Python Training Description

Gain a solid understanding of Python programming fundamentals essential for data analysis.
Learn to manipulate and prepare data for analysis using pandas, a powerful Python library.
Acquire the ability to visualize data effectively using libraries like Matplotlib and Seaborn to uncover insights and trends.
Understand the application of statistical methods to derive meaningful information from data.
Explore basic machine learning techniques using scikit-learn to predict future trends and behaviors.
Engage in hands-on projects that simulate real-world data analytics problems and solutions.

Data Analysts
Business Analysts
Aspiring Data Scientists
IT Professionals
Students in technical fields
Anyone interested in data-driven decision making

Basic understanding of programming concepts (any language, though Python is preferred)
Fundamental knowledge of statistics and mathematics
A keen interest in data analysis and willingness to learn new analytical techniques

Data Analytics with Python 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.

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Data Analytics with Python Corporate Training Certification

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Lifetime Access

Lifetime E-learning Access
Recorded Training Session Videos
Free Access to Practice Tests

24x7 Assistance

Help Desk Support
Doubt Resolution in Real-time
After Training Support

Hands on Experience

Project Based Learning
Learning based on real-life examples
Assignments and Practice Tests

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Data Analytics with Python Training FAQ's

Group discounts are often available for corporate trainings or groups of participants enrolling together. Contact Multisoft Virtual Academy for more details.

The course emphasizes practical, hands-on learning with projects and exercises designed to simulate real-world data analysis scenarios.

The skills gained in this course are applicable to roles like data analyst, business analyst, and many others across industries such as finance, healthcare, tech, and marketing.

You will learn to program with Python, use major libraries like NumPy and pandas for data manipulation, visualize data with Matplotlib, and apply statistical analysis and predictive modeling with scikit-learn.

To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number +91 8130666206