Skill Quest:

Data Insights Architect

Advanced Data Analytics with Python and Tableau

Harness the power of data analytics to make informed decisions and drive business success.

Overview

The Data Insights Architect program is designed to provide you with a comprehensive understanding of data analysis using Python and Tableau. This course covers everything from basic programming in Python to advanced data manipulation and visualization in Tableau, equipping you with the necessary tools to analyze and interpret complex datasets effectively.

Target Audience

This course is perfect for Data Analysts, Business Analysts, Aspiring Data Scientists, and anyone interested in gaining deep insights from data using Python and Tableau.

Courses Included in This Skill Quest

Note: Detailed syllabus available post-enrollment.

Expert Sessions

Quizzes & Assessments

Language

English

Pemium content

20 hours

Subtitles

English

Certificate of Completion

Learning Outcomes

Data Analyst
Business Analyst
Data Scientist
Business Intelligence Developer

Skills Acquired

This Skill Quest sharpens your expertise in:

Python Programming
Statistical Analysis
Data Manipulation and Visualization
SQL Data Management
Tableau Expertise

Career Readiness

Equips you for roles such as:

Data Analyst
Business Analyst
Data Scientist
Business Intelligence Developer

Entry Requirements

Basic knowledge of programming concepts.
Interest in data and analytics.

Skill Quest Certification Benefits

Complete this course to earn a Certificate of Achievement that showcases your expertise in data analytics to potential employers and your professional network.

Instructors

Led by industry veterans with extensive experience in data science and business analytics.

Accelerate Your Career

Focused and structured learning to quickly elevate your skills in data analytics, making you a valuable asset to any organization.

Courses Included in This Skill Quest

Note: Full course details available exclusively to enrolled users.

Data Analytics with Python:

Basics of Python Programming - Introduction, Operators, Conditional Statements, Loops, Functions, Data Structures
Data Science Libraries - Numpy, Pandas, Visualization with Matplotlib
Statistics for Data Science - Descriptive Statistics, Probability Distributions, Inferential Statistics
Data Handling and Preparation - Data Wrangling, Preparation Techniques
SQL Server - SQL Basics, Advanced SQL Techniques, Database Management

Mastering Tableau:

Introduction to Tableau - Basics, Data Management, Advanced Features
Data Visualization with Tableau - Creating Charts and Graphs, Advanced Visualization Techniques
Tableau in Depth - Dashboard Design, Sharing and Publishing Insights

Pricing