Data Analysis & Visualization with Python

With this course you will strengthen your basic knowledge of Data Analysis and apply this understanding to specific problems at your work, get versatile training in data-centric research, and build skills to work in multiple programming environments.

Live Course

Live Class: Tuesday, 02 Apr

Duration: 45 Hours

Enrolled: 4

Offered by: infyni

Live Course
$398 50% off


About Course

Businesses across industries rely on data analysis to drive decision-making processes. Skilled professionals proficient in full data analysis and visualization with Python are in high demand across various sectors such as finance, healthcare, marketing, and technology.

Let us look at some advantages to taking Infyni's Full Data Analysis & Visualization with Python.

Enhanced Employability:

Python's versatility in handling data, combined with its extensive libraries such as Pandas, NumPy, and Matplotlib, equips individuals with sought-after skills in the job market.

Comprehensive Data Understanding:

Python's capabilities facilitate efficient data manipulation, exploration, and extraction of insights, empowering professionals to make informed decisions based on data-driven analysis.

Scalability and Efficiency:

Python offers scalability and efficiency in data analysis tasks, making it suitable for handling large datasets and complex analytical processes. Its ease of use and performance optimization features streamline workflows, allowing analysts to tackle projects with speed and accuracy.

Visualization Mastery:

Python's visualization libraries like Matplotlib, Seaborn, and Plotly offer a diverse range of visualization options, enabling analysts to communicate insights effectively to stakeholders.

Integration and Automation:

Python's integration capabilities with other tools and platforms enable seamless workflow automation. By leveraging Python's scripting capabilities, analysts can automate repetitive tasks, increasing productivity and freeing up time for more strategic analysis.

Employers seek individuals who can extract actionable insights from data, visualize trends effectively, and contribute to organizational growth. For example, JPMorgan Chase utilizes data analysts to make informed investment decisions, manage risk, and enhance customer experience. Python proficiency is highly desirable for roles in quantitative analysis, financial modeling, and data analytics within the company.

Tesla employs data analysts to improve vehicle performance, optimize manufacturing processes, and enhance autonomous driving technology. Python proficiency is valuable for roles in data engineering, machine learning, and software development at Tesla.

Infyni's Full Data Analysis & Visualization with Python positions individuals as invaluable assets in the competitive job market of today.

Classes are held 3/ week to complete 45 hours of training. To join us for a free live trial with our expert instructors give us a call at +1-813-944-3309 or drop us a mail at

Skills You Will Gain

Proficiency in using Python libraries such as Pandas and NumPy Ability to import, export, and preprocess various data formats Understanding of data cleaning techniques Knowledge of exploratory data analysis (EDA) Mastery of data visualization principles and techniques Skills in creating various types of plots and charts

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)