Description

This intensive 4-hour training program is designed to take you from a beginner to a proficient data analyst in three crucial tools: Excel, SQL, and Python. You'll gain a solid understanding of data analysis concepts, learn to manipulate data, create insightful visualizations, and extract valuable insights from real-world datasets. Whether you're new to data analysis or looking to enhance your skills, this course provides the essential knowledge and hands-on experience you need to excel in the world of data.

Course Objectives

Develop proficiency in Excel for data manipulation and visualization.

Master SQL to query and extract data from databases.

Gain an introductory understanding of Python for data analysis.

Learn to clean and transform data for analysis.

Create meaningful visualizations to convey insights effectively.

Target Audience

Aspiring Data Analysts

Business Analysts

Students and Graduates

Professionals seeking to upskill

Anyone interested in data-driven decision-making

Basic Understanding

No prior knowledge of Excel, SQL, or Python is required. Familiarity with basic computer operations is required.

Course Content

No sessions available.

Simpliv Logo
Simpliv LLC
39658 Mission Boulevard,
Fremont, CA 94539, USA

Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python

Session 1: Introduction to Data Analysis and Excel

  1. Basics of Data Analysis
  2. Introduction to Excel

Session 2: Intermediate Excel and Data Visualization

  1. Formulas and Functions in Excel
  2. Data Cleaning and Transformation
  3. Data Visualization in Excel

Session 3: Introduction to SQL for Data Analysis

  1. What is SQL?
  2. SELECT Statements
  3. JOIN, WHERE, GROUP BY, HAVING Operations

Session 4: Introduction to Python for Data Analysis

  1. Python for Data Analysis
  2. Data Analysis with Pandas, NumPy
  3. Data Visualization with Matplotlib, Seaborn

Session 5: Q&A and conclusion

No lectures available

Coupons

No offers available at this time.

Live Support

Call

+510-849-6155

Mail to

support@simplivlearning.com

Similar Courses

Our Trusted Clients