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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

Suitable batches for you

23 Nov 2024 30 06:00 PM - 10:00 AM Sat, Sun
24 Nov 2024 30 06:00 PM - 10:00 AM Sat, Sun
30 Nov 2024 30 06:00 PM - 10:00 AM Sat, Sun
01 Dec 2024 30 06:00 PM - 10:00 AM Sat, Sun

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Instructor-led Training Live Online Classes

23 Nov 2024 30 06:00 PM - 10:00 AM Sat, Sun
24 Nov 2024 30 06:00 PM - 10:00 AM Sat, Sun
30 Nov 2024 30 06:00 PM - 10:00 AM Sat, Sun
01 Dec 2024 30 06:00 PM - 10:00 AM 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.

Course Price At

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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
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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

Interactive Virtual Training

Interactive Virtual Training

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  • Step-by –Step Learning Approach
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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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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

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