Course Overview

Training Options

Self-Paced Learning

$ 799

  • num_of_days days of access to high-quality, self-paced learning content designed by industry experts

Course Curriculum

Course Content

  • Scala for Data Science

    Preview
    • Lesson 1 Learning Objectives

      • Learning Objectives
    • Lesson 2 Basic Statistics and Data Types

      37:22Preview
      • 2.1 Learning Objectives
      • 2.2 Vectors and Labelled Points
        07:06
      • 2.3 Local and Distributed Matrices
        08:48
      • 2.4 Summary Statistics, Correlation, and Random Data
        05:30
      • 2.5 Sampling
        06:49
      • 2.6 Hypothesis Testing
        09:09
    • Lesson 3 Preparing Data

      44:34Preview
      • 3.1 Learning Objectives
      • 3.2 Statistics, Random Data and Sampling on Data Frames
        12:16
      • 3.3 Handling Missing Data and Imputing Values
        11:07
      • 3.4 Transformers and Estimators
        08:39
      • 3.5 Data Normalization
        05:00
      • 3.6 Identifying Outliers
        07:32
    • Lesson 4 Feature Engineering

      28:19
      • 4.1 Learning Objectives
      • 4.2 Feature Vectors
        03:28
      • 4.3 Categorical Features
        06:53
      • 4.4 Using Explode, User Defined Functions, and Pivot
        04:18
      • 4.5 Principal Component Analysis(PCA) in Feature Engineering
        09:12
      • 4.6 RFormulas
        04:28
    • Lesson 5 Fitting a Model

      40:29Preview
      • 5.1 Learning Objectives
      • 5.2 Decision Trees
        08:45
      • 5.3 Random Forests
        07:15
      • 5.4 Gradient-Boosting Trees
        07:10
      • 5.5 Linear Methods
        06:15
      • 5.6 Evaluation
        11:04
    • Lesson 6 Pipeline and Grid Search

      21:34Preview
      • 6.1 Learning Objectives
      • 6.2 Predicting Grant Applications: Introduction
        04:27
      • 6.3 Predicting Grant Applications: Creating Features
        04:52
      • 6.4 Predicting Grant Applications: Building a Pipeline
        04:16
      • 6.5 Predicting Grant Applications: Cross Validation and Model Tuning
        03:47
      • 6.6 Predicting Grant Applications: Wrapping Up
        04:12
      • Unlocking IBM Certificate

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.