Zaalima Learning LMS - Zaalima Development | Data Analyst Complete Course

Course / Course Details

Data Analyst Complete Course

Data

By - Super admin
0 students
38 Hours
(0)

Course Requirements

Basic computer knowledge
No prior coding experience required
Laptop/Desktop with internet connection
Basic understanding of mathematics (helpful but not mandatory)

Course Description

The Data Analyst Complete Course is designed to equip learners with the essential skills required to analyze, interpret, and visualize data effectively. This program covers Excel, SQL, Python, Statistics, Data Visualization, and Power BI/Tableau to help students make data-driven decisions.

Through hands-on projects, real-world datasets, and practical case studies, learners will gain strong analytical skills and industry-ready experience.

Course Outcomes

Understand data analysis fundamentals
Work confidently with Excel for data cleaning and reporting
Write SQL queries to extract and manage data
Analyze data using Python (Pandas, NumPy, Matplotlib)
Perform statistical analysis for decision-making
Create interactive dashboards using Power BI or Tableau
Clean and preprocess real-world datasets
Build portfolio-ready data analytics projects
Prepare for Data Analyst job interviews

Course Curriculum

4 chapters
20 lectures
0 quizzes
38 Hours total length

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1 A Practical Example - What Will You Learn in This Course

5 Min

2 What Does the Course Cover

6 Min

1 Introduction to the World of Business and Data

3 Min

2 Relevant Terms Explained

6 Min

3 Data Analyst Compared to Other Data Jobs

3 Min

4 Data Analyst Job Description

6 Min

5 Why Python

6 Min

1 Introduction

2 Min

2 Programming Explained in a Few Minutes

6 Min

3 Jupyter - Introduction

4 Min

4 Jupyter - Installing Anaconda

4 Min

5 Jupyter - Intro to Using Jupyter

4 Min

6 Jupyter - Working with Notebook Files

7 Min

7 Jupyter - Using Shortcuts

4 Min

8 Jupyter - Handling Error Messages

6 Min

9 Jupyter - Restarting the Kernel

3 Min

1 Python Variables

4 Min

2 Types of Data - Numbers and Boolean Values

4 Min

3 Types of Data - Strings

6 Min

4 Basic Python Syntax - Arithmetic Operators

4 Min

Instructor

Super admin

As the Super Admin of our platform, I bring over a decade of experience in managing and leading digital transformation initiatives. My journey began in the tech industry as a developer, and I have since evolved into a strategic leader with a focus on innovation and operational excellence. I am passionate about leveraging technology to solve complex problems and drive organizational growth. Outside of work, I enjoy mentoring aspiring tech professionals and staying updated with the latest industry trends.

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