infyni

Data Science and Introduction to ML

This live online course covers all the key topics in data science. Classes are taken by industry experts who have decades experience. Learning live is simpler than learning by oneself from pre-recorded sessions. Get all your doubts cleared on the spot with the instructor.

Live Course

Live Class: Wednesday, 06 Mar

Duration: 60 Hours

Enrolled: 0

Offered by: infyni

Live Course
$375 20% off

$300

About Course

Data Science is the study of the extraction of knowledge from data. Being a data scientist requires an integrated skill set spanning over applied mathematics & statistics, machine learning, and other branches of computer science along with a good understanding of the craft of problem formulation to engineer effective solutions.

This live online course will introduce students to this rapidly growing field and equip them with basic principles and tools as well as its general mindset. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive modelling, descriptive modelling, evaluation, and effective communication.

Today, you don’t need to have an engineering or computer science background to learn Data Science. What is even more interesting is that the demand for data scientists will only grow, as organizations are increasingly relying on data-driven insights.

Below is a list of careers that are possible with Data Science:

  1. Data Scientist

  2. Machine Learning Engineer

  3. Machine Learning Scientist

  4. Applications Architect

  5. Enterprise Architect

  6. Data Architect

  7. Infrastructure Architect

  8. Data Engineer

  9. Business Intelligence (BI) Developer

  10. Statistician

Skills You Will Gain

Data Analysis Analytical problem Python Matplotlib Seaborn Bokeh Linear Regression Logistics Regression Unsupervised learning Supervised learning Tableau MangoDB CNN RNN SPARK

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)
  • Data analysis in excel
  • Analytical problem solving
  • Introduction to PYTHON
  • Programming in PYTHON
  • Data analysis using Excel
  • Python for Data Science
  • Data visualization - Matplotlib, Seaborn, Bokeh
  • EDA Statistics for Data Science
  • Hypothesis testing Advanced SQL
  • Case Study
  • Introduction to ML
  • Linear Regression
  • Logistics Regression
  • Unsupervised learning
  • Supervised learning
  • Bagging
  • Boosting
  • PCA
  • Text Analytics and Text Based Predictive Modelling
  • Advanced data visualization using TABLEAU
  • Data Storytelling
  • MangoDB
  • Tree models
  • TPOT
  • AutoML
  • Time Series Analysis
  • Lexical processing
  • Syntactic processing
  • Semantic processing
  • Introduction to Neural Networks
  • Activation functions
  • CNN
  • RNN
  • Gesture recognition
  • Introduction to SPARK and Advanced concepts for Lightning fast analytics
  • Optimising SPARK for large scale data processing
  • Apache Flink
  • TPOT
  • AutoML