Data Analysis And Data Visualization With Python

Mastering data analysis and data visualization is not difficult. This course gives your learning a 360 degree coverage.

Data analysis and data visualization have become key industry drivers in the global job and opportunity market. A career in data analysis or data visualization is something that many people are aspiring and preparing for. This course is designed for the enthusiasts to give a 360 degree coverage. The course will help people learn the essentials skills, as well help them solve complex business problems. For the enthusiasts who want to make it big into data science as a whole, this course is an ideal learning.

What you’ll learn

  • A 360 degree coverage of data analysis and data visualization.
  • Python programming essentials for data analysis and data visualization.
  • A lot of examples with real-life problem solving and a lot of python coding.
  • Using numpy library to create and manipulate arrays.
  • Working with various data formats using python.
  • Using Jupyter and PyCharm Notebook Environment.
  • Using the pandas module in python to create and structure data.
  • Data visualizations using matplotlib in python.
  • Statistics for data analysis and several models.
  • Data distribution and statistical inference.
  • Linear regression analysis wit python.
  • Logistic regression analysis with python.

Course Content

  • Introduction –> 4 lectures • 15min.
  • Working With Numbers In Python –> 3 lectures • 14min.
  • Working With Strings In Python –> 4 lectures • 14min.
  • Handling Files In Python –> 3 lectures • 12min.
  • Modules And Packages –> 2 lectures • 11min.
  • The NumPy Library –> 2 lectures • 11min.
  • Basic Statistics –> 7 lectures • 40min.
  • Data Manipulation With Pandas Library In Python –> 5 lectures • 26min.
  • Data Visualization With Python –> 3 lectures • 12min.
  • Dealing With Missing Data –> 2 lectures • 15min.
  • Random Variables –> 8 lectures • 39min.
  • Statistical Inference –> 3 lectures • 19min.
  • Test Of Hypothesis –> 4 lectures • 27min.
  • Contingency Tables –> 2 lectures • 13min.
  • Linear Regression –> 5 lectures • 32min.
  • Logistic Regression –> 5 lectures • 29min.

Data Analysis And Data Visualization With Python

Requirements

  • A computer (either Mac, Windows, or Linux).
  • Basic maths or statistics skills.
  • Basic to intermediate python programming skills.

Data analysis and data visualization have become key industry drivers in the global job and opportunity market. A career in data analysis or data visualization is something that many people are aspiring and preparing for. This course is designed for the enthusiasts to give a 360 degree coverage. The course will help people learn the essentials skills, as well help them solve complex business problems. For the enthusiasts who want to make it big into data science as a whole, this course is an ideal learning.

 

Spotle

Spotle is an AI-powered career platform where you are automatically matched with the relevant opportunities and skills for the advancement of your career. Targeted at the highly mobile millennial and Gen-Z population, Spotle provides a dynamic and agile platform to discover career choices matched to your life goals.

Spotle as a company brings together a solid pool of machine learning, data science experts; The experts who have built the very complex Spotle Recommendation Engine that runs at the core of Spotle platform to match you to your most relevant career choices; The experts who are passionate about machine learning, data science; The experts who are keen on sharing their knowledge for the advancement of this field.

Spotle courses give you a unique opportunity to learn from and practice with the masters of the field of Data Science.