Professional
Data Science Specialization
A multidisciplinary deep-dive into extracting knowledge from raw data. Master the entire pipeline from Probability and Statistics to Advanced Machine Learning and Deep Learning using TensorFlow and Pandas.
Duration
7-8 Weeks
Level
Professional
Accreditation
ISO Verified
Format
Online
Preparation
Mock Interviews
Career Tool
Resume Building
Technical Curriculum
Phase 01: The Data Science Landscape
Differentiating Analysis vs Analytics, Business Intelligence vs AI, and mapping the career disciplines within Big Data and Traditional Data Science.
Phase 02: Probability & Statistical Foundations
Mastering Combinatorics, Bayesian Inference, Distributions, and Descriptive Statistics for reliable data interpretation.
Phase 03: Advanced Statistical Modeling
Linear and Logistic Regression using StatsModels and sklearn, Cluster Analysis, and handling Multiple Regression variables.
Phase 04: Deep Learning & Frameworks
Building Neural Networks with TensorFlow 2.0, MNIST classification, Preprocessing techniques, and high-performance Data manipulation with Pandas.