infyni

Data Science Master Program Live

In our live online course you learn everything about data science. Our trainers are experts who interact with you and answer all your doubts and queries making complex topics easier. Learning live is simpler than pre-recorded video sessions. Take a free trial, now.

Live Course

Live Class: Tuesday, 05 Mar

Duration: 40 Hours

Enrolled: 0

Offered by: infyni

Live Course
$375 20% off

$300

About Course

Our live online course in Data science is one of the easiest and simplest courses. Taken live by instructors, it is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. Yet, supply has been very limited. Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture. 


In this live and interactive course you will learn mathematics and statistics, how to apply advanced statistical techniques in Python, data visualization as well as machine learning and deep learning. Each of these topics builds on the previous ones. So this is a systematic approach to learning data science without getting lost along the way. 

Skills You Will Gain

Data Analysis Analytical problem Python Matplotlib Linear Regression Logistics Regression Unsupervised learning Supervised learning Tableau PowerBI ANN CNN RNN

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)
  • Introduction to Data Science
  • Different Sectors Using Data Science
  • Purpose and Components of Python
  • Quiz
  • Key Takeaways
  • Anaconda
  • Installation of Anaconda Python Distribution
  • Data Types with Python
  • Basic Operators and Functions
  • Quiz
  • Key Takeaways
  • Numpy
  • Pandas
  • Matplotlib
  • SQL queries
  • Data Exploration
  • Tableau
  • Power BI
  • Data Analytics Process
  • Knowledge Check
  • Exploratory Data Analysis(EDA)
  • EDA-Quantitative Technique
  • EDA - Graphical Technique
  • Data Analytics Conclusion or Predictions
  • Data Analytics Communication
  • Data Types for Plotting
  • Data Types and Plotting
  • Quiz
  • Introduction to Statistics
  • Statistical and Non-statistical Analysis
  • Major Categories of Statistics
  • Statistical Analysis Considerations
  • Population and Sample
  • Statistical Analysis Process
  • Data Distribution
  • Dispersion
  • Histogram
  • Testing
  • Correlation and Inferential Statistics
  • Key Takeaways
  • Regression,
  • Classification
  • Clustering
  • ANN
  • CNN
  • RNN
  • Computer Vision
  • Natural Language Processing
  • Keras
  • TensorFlow
  • PyTorch
  • Solving Problems from Kaggle
  • Collecting data through web scraping and analysing

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