Data Science Python Certification Course

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Data Science Python Certification Course

The Data Science with Python course teaches you to grasp the principles of Python programming. Through this Python for Data Science training, you may examine Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP. Upon direction completion, you may grasp the vital Data Science equipment the usage of Python.

Data Science Python Course Features

Instructor-led live sessions

24 Hours of Online Live Instructor-led Classes. Training Schedule: 8 sessions of 3 hours each.

Lifetime access

Students will get lifetime access to all the course materials where presentations, quizzes, installation guides, and class recordings are available. 

24/7 expert support

We provide 24/7 support to all the students, thereby resolving technical queries. 


Each class will be followed by practical training sessions for a better hands-on experience.


Each class will be followed by practical training sessions for a better hands-on experience.

Data Science Python Course Description

Python, which as soon as become taken into consideration a well known programming language, has emerged as a shining super mega celebrity of the Data Science world. The key motive force is the power it gives for an give up-to-give up enterprise-extensive analytic implementation, inclusive of gadget mastering and AI. No surprise Python for statistics technology has emerge as the industry's favored choice; for this reason making an investment in a complete statistics technology python route will become critical for any aspirant. This Python for Data Science certification schooling may even make you apprehend the specific sorts of Machine Learning, Recommendation Systems, and plenty of greater Data Science principles that will help you get commenced together along with your Data Science career.

  1. Candidates with a variety of technical or quantitative backgrounds, such as Engineering, Finance, Math, Statistics, and Business Management, who want to begin their career in Data Science and Machine Learning.

  2. It is recommended that non-technical candidates have prior understanding of fundamental data analytics tools such as Excel/ SQL/ Tableau.

Our Python instrument Training for Data Science has been largely sought- out, with particular attention to specific motifs to help you gain a Data Scientist's necessary chops.

This course is a perfect fit for

  • Programmers

  • Developers

  • Engineers

  • Specialized Leads

  • Analytics administrators

  • Information Engineers

  • Business Judges

  • Python professionals

Why Data Science Python Certification

  1. It’s used to test in-general knowledge of the essential libraries in Python along with colorful toolings, and this Course will help you achieve that without previous experience.
  2. We’re an ISO Certified Partner, and you can subsidize on our strategies and tips to master the content.
  3. With this instrument Course, you’ll get access to hands- on labs and coffers and follow a well- defined structure around Assignments, Quizzes, and further to get you ready for the instrument test.
  4. According to the U.S. Bureau of Labor Statistics there might be round 11.5 million new jobs for Data Science specialists via way of means of 2026
  5. The median earnings for an skilled Data Scientist is $1628,00 – Zip Recruiter

Data Science Python Course Syllabus

  • Synopsis

  • Companies that use Python

  • It has a wide range of uses.

  • Talk about Python scripts on UNIX/Windows.

  • Variables, Values, and Types

  • Expressions and Operands

  • Conditional Expressions

  • Loops

  • Arguments on the Command Line

  • Writing on a Screen

  • I/O utilities for Python files
  • Numbers
  • Strings and their operations
  • Tuple operations and related activities
  • Lists and similar procedures
  • Dictionary operations and associated operations
  • Sets and their activities
  • Functions
  • Parameters of Function
  • Variables at a Glance
  • Returning Values and Variable Scope
  • Lambda Expressions
  • Object-Oriented Ideas
  • Typical Libraries
  • In Python, modules are used.
  • The Import Declarations
  • Path of Module Search
  • Methods for Installing a Package
  • Handling Errors and Exceptions
  • Multiple Exception Handling
  • Arrays in NumPy
  • Array manipulation
  • Iterative indexing, slicing, and iteration
  • Reading and writing arrays to and from files
  • Pandas - index operations and data structures
  • Reading and writing data into Pandas from Excel/CSV formats
  • matplotlib package
  • Grids, axes, and graphs
  • Colors, markers, typefaces, and style
  • Plot types include bar graphs, pie charts, and histograms.
  • Plotting contours
  • A data object's fundamental capabilities
  • Data object merging
  • Data object concatenation
  • Join Types on Data Objects
  • Investigating a Dataset
  • Performing a dataset analysis
  • What exactly is Machine Learning?
  • Case Studies in Machine Learning
  • Flow of the Machine Learning Process
  • Categories for Machine Learning
  • Regression linear
  • Gradient descent
  • What is classification and what are its applications?
  • What exactly is a Decision Tree?
  • Decision Tree Induction Algorithm
  • Making the Ideal Decision Tree
  • Matrix of Confusion
  • What exactly is Random Forest?
  • Dimensionality: An Overview
  • Why is Dimensionality Reduction Important?
  • PCA
  • Factor Evaluation
  • Dimensional model scaling
  • LDA
  • What exactly is Nave Bayes?
  • How does Nave Bayes work?
  • Using the Nave Bayes method
  • Classifier
  • What exactly is a Support Vector Machine?
  • Show how the Support Vector works.
  • Does the machine work?
  • Optimization of Hyper parameters
  • Random Search vs. Grid Search
  • Support Implementation
  • Classification Using a Vector Machine
  • What is Clustering and What Are Its Applications?
  • What exactly is K-means Clustering?
  • How does the K-means algorithm operate?
  • How to Perform the Best Clustering
  • What exactly is C-means Clustering?
  • What precisely is Hierarchical Clustering?
  • How does Hierarchical Clustering function?
  • What exactly are Association Rules?
  • Parameters for Association Rules
  • Association Rule Parameter Calculation
  • Engines of Recommendation
  • How do Recommendation Engines function?
  • Filtering by Collaboration
  • Filtering Based on Content
  • What exactly is Reinforcement Learning?
  • Why is Reinforcement Learning used?
  • Reinforcement Learning Elements
  • Exploration vs. exploitation quandary
  • Algorithm of Epsilon Greed
  • Markov Chain Decision Process (MDP)
  • The Q and V values
  • Q – Learning
  • α values
  • What exactly is Time Series Analysis?
  • TSA's Importance
  • TSA Components
  • Noise in White
  • The augmented reality model
  • The MA model
  • The ARMA model
  • The ARIMA model
  • Stationarity
  • PACF and ACF
  • What exactly is Model Selection?
  • The Importance of Model Selection
  • Cross-Validation
  • What exactly is boosting?
  • How do Algorithms for Boosting Work?
  • Various Algorithms for Boosting
  • Adaptive Enhancement

Data Science Python Course Features

10,000 per year in India, $74439 per year in the United States, A$115,000 per year in Australia, 79858 Canadian dollars per year, £52,052 per year in the United Kingdom, S$70932 per year in Singapore, AED 181776 Per Year in the UAE

Sigmoid curve, Mindtree Inc., LinkedIn, Oracle, Paypal, TCS, ZIGRAM 7 etc.

Data Analyst, Data Visualization Analyst, Business Analyst, Data Science Consultant, Statistical Analyst, Analytics Consultant.


Course Rating
$589 $529-10% Off


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