Data Science Upgrad - Profcyma Career Solutions LLP

Linear Algebra for Analysis (5hrs)

In this course, we will walk you through the basics of linear algebra.

Introduction to Database Design with MySQL (11hrs)

This is a course about database design and the basics of MySQL using MySQL Workbench.

Data Science in E-commerce (13hrs)

Examine how monitoring and analytical skills are used in the E-commerce domain to make business decisions.

Programming with Python: Introduction for Beginners (17hrs)

This course introduces you to the syntax of the Python programming language, its data structures and control structures, and the application of Object-Oriented Programming in Python.

Learn Basic Python Programming (15hrs)

This course will revise your basic concepts of lists and strings from a coding perspective in Python.

Learn Python Libraries: NumPy, Matplotlib, and Pandas (15hrs)

This is a preparatory course on Python libraries: NumPy, Matplotlib and Pandas

Hypothesis Testing Crash Course (11hrs)

In this course, you’ll learn about types of hypothesis, types of test for the hypothesis, decision-making criteria for hypothesis, critical value, and p-value method for testing.

Advanced SQL: Functions and Formulas (11hrs)

In this module, you will learn all about window functions, case statements, stored functions and query optimization.

Introduction to Natural Language Processing (11hrs)

In this course, you’ll learn the basics of NLP and use regex to build tools for spell correction, phonetic hashing, and spam detection.

Fundamentals of Deep Learning of Neural Networks (28hrs)

In this course, you’ll be introduced to the basics of Neural Networks and concepts related to Deep Neural networks.

Basics of Inferential Statistics (15hrs)

In this course, you’ll learn about probability and statistics, continuous and discrete probability distributions, sampling methods and their error quantification, and central limit theorem.