Comprehensive Data Analytics Interview Preparation

About Course

The Data Analytics Interview Preparation Programme aims to equip learners with essential skills and knowledge in data analytics, exploratory data analysis (EDA), and predictive modelling. Through a comprehensive curriculum, learners will gain hands-on experience with various data analysis tools and techniques, enabling them to excel in data analytics interviews.

Have a solid understanding of the fundamentals of data analytics.
Demonstrate proficiency in data manipulation and exploration techniques.
Conduct exploratory data analysis (EDA) on various datasets, including terror data, stakeholder behaviour on Airbnb etc.
Develop predictive models using linear regression and scikit-learn.
Acquire best practices for achieving excellence as a data analyst.

Course Content

Introduction to Data Analytics

Section 1: Introduction to Data Analytics Part-1

Section 1: Introduction to Data Analytics Part-2

Section 1: Introduction to Data Analytics Part-3

Section 2: Fundamentals of Data Analytics Part-1

Section 2: Fundamentals of Data Analytics Part-2

Section 3: Transforming a numerical column into a categorical one

Section 3: Data exploration on terror data

Section 3: Detect and handle outliers.

Section 3: Workforce distribution in Tableau

Section 3: Apply SQL joins to gather valuable insights

EDA analysis of the stakeholder behaviour on Airbnb

Correlation Analysis over the insurance company

Pareto Analysis using Google play store data

Business Analysis of google play store data Using Tableau

Cricbuzz Data Analysis: Top ODI Cricket Players

Fuel Consumption Prediction using linear regression of Scikit-learn

Unlocking Insights from COVID-19 Data: Data Wrangling Strategies

Data Manipulation: Custom Aggregates and GroupBy in Python

The Path to Data Analyst Excellence: Best Practices Revealed