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Data Science With Python Certification Training Course

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Data Science With Python Certification Training

Overview

Python is a multi-paradigm or versatile programming language that can be considered as a sort of swiss knife for the coding world. This is because it supports structured programming, Object Oriented Programming, and even functional programming patterns. The versatility of Python undoubtedly makes it the best-suited programming language for the data scientists. Here are some of the other advantages of python for data science, which will help you understand why you should learn data science with Python:

Python is a powerful open source programming language, which means that it’s free to use while having all the properties that a programming language should have. It is a versatile programming language that supports Object-Oriented Programming, Structured Programming, and functional programming patterns. Python has some 72,000 libraries in the Python Package Index that aid in scientific calculations and machine learning applications.

Skill You Will Get By Data Science With Python Certification Course?

  • Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
  • Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave.
  • Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline.
SELF PACED COURSE
  • Lifetime access to high-quality self-paced e-learning content curated by industry experts
  • Support from Industry Professionals
  • 12 Chapters
  • 24x7 Access to eLearning Resources
  • Weekly Query Resolutuion Sessions

399

LIVE ONLINE TRAINING
  • Expert Certified Trainers
  • Mentorship from Industry Experts
  • 24x7 Access to eLearning Resources
  • Certificate of Participation

699

CLASSROOM COURSE
  • Mentorship from Industry Expert.
  • Session handled by Globally Recognised Industry Experts Trainers
  • Mentorship from Industry Expert.

1099

Register Now Get 30% Discount

Course Outline

The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python.

Python sports an easy to understand and readable syntax that ensures that the development time is cut into half when compared with other programming languages. Python enables you to perform data analysis, data manipulation, and data visualization, which are very important in data science.

Python is a multi-paradigm or versatile programming language that can be considered as a sort of swiss knife for the coding world. This is because it supports structured programming, Object Oriented Programming, and even functional programming patterns. The versatility of Python undoubtedly makes it the best-suited programming language for the data scientists. Here are some of the other advantages of python for data science, which will help you understand why you should learn data science with Python:

Curriculum

Owners benefit as well. When one- third of their project executives are PMP- certified, association wide-ranging more of their projects on time, on budget and meeting innovative goals. PMP training Online course is specifically premeditated to assists you and act according to the Eighteen Model such as:

  • MODULE 1:Data Science Introduction & Use Cases
  • MODULE 2:Python Basic: Basic Syntax, Data Structure
  • MODULE 3:Pyhton Basic: Loops, If elif Statements,Functions,Exception Handling
  • MODULE 4:Statistics 1: Measures of central tendency, Population, Sample, Probability Distribution
  • MODULE 5:Statistics 1: Normal and Binomail Distribution, Random Variable, Pictorial Representation
  • MODULE 6:Python Advanced: Numphy, Pandas
  • MODULE 7:Python Advanced: Data Manipulation, Matplotlib
  • MODULE 8:Exploratory Data Analysis:Data Cleaning, Data Wrangling
  • MODULE 9:Exploratory Data Analysis:Data Visualisation
  • MODULE 10:Exploratory Data Analysis:Case Study
  • Given a set of qualitative data, generate high level consumer insight
  • Big data and digital marketing
  • Managing the consumer journey in a non-linear world
  • Building an effective digital media strategy
  • Social media and its role in digital marketing
  • Digital customer service and becoming omnichannel

Build a comprehensive social media marketing plan

  • The digital marketing revolution and connectivity, capability and computerization
  • Big data and digital marketing
  • Managing the consumer journey in a non-linear world
  • Building an effective digital media strategy
  • Social media and its role in digital marketing
  • Digital customer service and becoming omnichannel

Build a comprehensive social media marketing plan

  • The digital marketing revolution and connectivity, capability and computerization
  • Big data and digital marketing
  • Managing the consumer journey in a non-linear world
  • Building an effective digital media strategy
  • Social media and its role in digital marketing
  • Digital customer service and becoming omnichannel

Build a comprehensive social media marketing plan

  • The digital marketing revolution and connectivity, capability and computerization
  • Big data and digital marketing
  • Managing the consumer journey in a non-linear world
  • Building an effective digital media strategy
  • Social media and its role in digital marketing
  • Digital customer service and becoming omnichannel

Course Benefits

  •  Augments your Knowledge, Talent and Skills
  •   Acquaints You with Established Practices in Project Management
  •   Reveals Commitment and Zeal Towards Project Management Career
  •   Provides you with Promotion and Higher Earnings
  •   Promotes Your Career Graph Upwards
  •   Certified Professionals are Cup of Tea for Employers in the Industry as Compared to Uncertified Ones
  •   Escalate Your Pay Package by 20% to Uncertified Project Managers
  •   Confirm your Expertise and Excellence in the Area of Project Management
  •   Projects You as a Successful Professional in the Field of Project Management