Data Analytics

Lecturer
Eidostech Academy
Category
Business
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Course Description

There are tens of thousands of Data Analytics jobs being advertised on LinkedIn. These roles have never been in more demand. That’s why adding Data Analytics to your skill set is such a smart career move. In this course, expert Mehar Singh will introduce you to the different real world situations where data analytics is being used to make informed decisions. Discover what Data Analytics is—and where it’s being used. Then learn how to perform analysis and develop machine learning models. Find out how to prepare data using Python, perform data mining operations, and build a ML model to analyze real world data. Finally, you will work on a real world project to solve a business problem.

Course Information:

Course Info

  • Start Course: July 1st 2021
  • Duration: 3 Months
  • Lessons: 34
  • Prerequisites: Yes
  • Skill Level: intermediate

Curriculums

Programming In Python

  • a. Basic Coding
    Lesson
  • b. Lists
    Lesson
  • c. Strings
    Lesson
  • d. Other Data Structures
    Lesson

Database Design and Introduction To MySQL

  • a. Database Design
    Lesson
  • b. Database Creation in the MySQL Workbench
    Lesson
  • c. Querying in MySQL
    Lesson
  • d. Joins and Set Operations
    Lesson
  • e. SQL Practice Case Study
    Lesson

Python For Data Science

  • a. NumPy
    Lesson
  • b. Pandas
    Lesson

Data Visualization In Python

  • a. Introduction To Data Visualization With Matplotlib
    Lesson
  • b. Immersion Pack
    Lesson
  • c. Data Visualization: Case Study
    Lesson
  • d. Data Visualization with Seaborn
    Lesson

Exploratory Data Analysis

  • a. Data Sourcing
    Lesson
  • b. Data Cleaning
    Lesson
  • c. Univariate Analysis
    Lesson
  • d. Bivariate and Multivariate Analysis
    Lesson

Inferential Statistics

  • a. Introduction To Probability
    Lesson
  • b. Basics of Probability
    Lesson
  • c. Discrete Probability Distributions
    Lesson
  • d. Continuous Probability Distributions
    Lesson
  • e. Central Limit Theorem
    Lesson
  • f. Applications of Sampling Methods
    Lesson

Hypothesis Testing

  • a. Concepts of Hypothesis Testing – 1
    Lesson
  • b. Concepts of Hypothesis Testing – 2
    Lesson
  • c. Industry Demonstration 1
    Lesson
  • d. Industry Demonstration 2
    Lesson
  • e. Statistics – Interview Practice
    Lesson

Advanced SQL and Best Practices

  • a. Window Functions
    Lesson
  • b. Case Statements, Stored Routines and Cursors
    Lesson
  • c. Query Optimization and Best Practices
    Lesson
  • d. Problem-Solving Using SQL
    Lesson