Description

Data analysis is a valuable skill in today's data-driven world. This course offers a comprehensive introduction to four fundamental data analysis tools: Python, Excel, SQL, and Power BI. In this 5-hour session, you'll learn the basics of data manipulation, analysis, and visualization using these tools, equipping you with the skills to make data-driven decisions and communicate your insights effectively.

Course Objectives

Understand the principles of data analysis.

Utilize Python for data manipulation and analysis.

Perform data analysis and visualization using Microsoft Excel.

Write SQL queries to extract and analyze data from relational databases.

Create interactive data visualizations and reports using Power BI.

Target Audience

Beginners who want to start a career in data analysis.

Professionals who need to enhance their data analysis skills.

Anyone interested in gaining a foundational understanding of Python, Excel, SQL, and Power BI.

Basic Understanding

No prior experience in data analysis is required, but a basic understanding of computer usage is beneficial. Familiarity with spreadsheets and databases can be helpful but is not mandatory.

Course Content

No sessions available.

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

Become Analytics Pro: Crash course in Excel, Python, SQL, Power BI

Session 1: Introduction to Data Analysis and Tools

  1. Introduction to Data Analysis
  2. Overview of Data Analysis Tools
  3. Setting up the development environment

Session 2: Data Manipulation with Python

  1. Python basics for data analysis
  2. Data structures in Python
  3. Pandas library for data manipulation
  4. Hands-on Python exercises

Session 3: Data Analysis with Excel

  1. Introduction to Excel for data analysis
  2. Excel functions and formulas
  3. Data visualization in Excel
  4. Hands-on Excel exercises

Session 4: SQL for Data Analysis

  1. Introduction to SQL and databases
  2. Writing SQL queries
  3. Filtering and sorting data
  4. Hands-on SQL exercises

Session 5: Data Visualization with Power BI

  1. Introduction to Power BI
  2. Importing and cleaning data
  3. Creating visualizations and dashboards
  4. Sharing and publishing reports

Coupons

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