Data Analytics
Data Analyst Course Online
SQL, Python, Excel & Power BI
Become a data analyst with our practical online training. Learn SQL, Python, and Power BI through hands-on project work. The course includes mentor-led guidance, mock interview preparation, and career-focused skills.
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Course Duration: Self-paced
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Skill Level: Beginner
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Training Language: English
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Learning Mode: Online
Mentor-Led, Hands-On Learning
Become a job-ready Data Analyst. Learn to inspect, clean, transform and model data to support decisions and uncover patterns across business functions. Foundations: role of data analysis, key concepts, SDLC, Agile/Scrum, Waterfall Programming: Python & R for analysis; SPSS for...
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Hands-On Projects
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Mentor-Led Support
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Tekizz Academy Course Completion Certificate
After successful completion, you will receive a Tekizz Academy digital certificate that supports your professional profile, validates your course participation, and highlights your practical learning progress.
- check_circle Shareable certificate for LinkedIn and professional profiles
- check_circle Useful for resume and LinkedIn profile updates
- check_circle Access to Tekizz Academy learner support community
Course Curriculum & Practical Modules
A structured learning roadmap designed to build practical skills through step-by-step lessons, hands-on exercises, real-world examples, and career-focused training.
WEEK 01
Introduction to Data Analysis
- play_circle Overview of Data Analysis
- play_circle Roles and Responsibilities
- play_circle Importance in Business
- + 1 more lessons
WEEK 02
SDLC Methodologies
- play_circle Software Development Life Cycle
- play_circle Phases of SDLC
- play_circle SDLC in Data Projects
WEEK 03
Agile Framework
- play_circle Principles of Agile
- play_circle Agile/Scrum in Data Projects
WEEK 04
Waterfall Methodology
- play_circle Waterfall Model & Phases
- play_circle Comparing Waterfall vs Agile
WEEK 05
Python for Data Analysis
- play_circle Basic Syntax & Structures
- play_circle Data Types & Operations
- play_circle Intro to NumPy
- + 1 more lessons
WEEK 06
Advanced Python Techniques
- play_circle Data Visualization with Matplotlib
- play_circle Data Manipulation with Pandas
WEEK 07
R for Data Analysis
- play_circle R Basics & Environment Setup
WEEK 08
SQL for Data Analysis
- play_circle SQL Fundamentals
- play_circle Basic Queries & Retrieval
- play_circle Joins, Subqueries & Indexing
- + 1 more lessons
WEEK 09
Advanced SQL Queries
- play_circle CTEs & Recursive Queries
- play_circle Performance Tuning
- play_circle Advanced SQL Techniques
WEEK 10
Data Analysis with SPSS
- play_circle SPSS: Introduction
- play_circle Data Entry & Management
- play_circle Descriptive Statistics
- + 1 more lessons
WEEK 11
IDEs & Environment
- play_circle VS Code & PyCharm Setup
- play_circle Writing & Running Code
- play_circle Debugging & Version Control
WEEK 12
NumPy & Pandas Deep Dive
- play_circle NumPy Array Operations
- play_circle Pandas DataFrames & Series
WEEK 13
Data Visualization Packages
- play_circle Creating Plots & Charts
- play_circle Customizing Visualizations
- play_circle Advanced Plotting Techniques
WEEK 14
Big Data Tools: PySpark
- play_circle PySpark Overview
- play_circle Setting Up Spark
- play_circle Processing Data with PySpark
WEEK 15
Tableau for Data Visualization
- play_circle Data Visualization Tools
- play_circle Interactive Visualizations
- play_circle Dashboards & Stories
WEEK 16
Power BI for Data Visualization
- play_circle Introduction to Power BI
- play_circle Connecting to Data Sources
- play_circle Reports & Dashboards
WEEK 17
Microsoft Excel for Data Analysis
- play_circle Advanced Excel Techniques
- play_circle PivotTables & Charts
WEEK 18
Google Cloud Platform (GCP)
- play_circle Cloud for Data Analysis
- play_circle Data Storage & Analysis on GCP
- play_circle Setting Up Projects
WEEK 19
Azure for Data Analysis
- play_circle Azure Data Services
- play_circle Data Analysis with Azure
WEEK 20
Databases for Data Analysis
- play_circle Setup & Management
- play_circle Querying Data
- play_circle Data Integration Techniques
WEEK 21
Techniques for Data Cleaning
- play_circle Handling Missing Values
- play_circle Transformation & Standardization
- play_circle Wrangling Workflows
WEEK 22
Critical Thinking & Problem-Solving
- play_circle Developing Critical Thinking
- play_circle Problem-Solving Strategies
- play_circle Applying to Data Analysis
WEEK 23
Communication & Presentation Skills
- play_circle Effective Communication
- play_circle Presenting Data Insights
- play_circle Storytelling with Data
WEEK 24
Capstone Project
- play_circle Defining Project Scope
- play_circle Data Collection & Analysis
- play_circle Presenting Findings
Secure Your Course Enrollment
Join this Tekizz Academy online course and build practical, career-focused technology skills with flexible learning support.
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Quick Course Access
Access course materials and learning resources after enrollment.
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Mentor-Led Guidance
Get structured guidance, doubt-clearing support, and career-focused learning help.
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Course Frequently Asked Questions
Who is this course for? expand_more
Aspiring and upskilling analysts who want a practical, tool-driven pathway to data roles.
Which languages and tools will I learn? expand_more
Python (NumPy, Pandas), R, SQL, SPSS, PySpark, Tableau, Power BI, and Excel.
How deep does SQL go? expand_more
From fundamentals to advanced joins, subqueries, indexing, window functions, CTEs, recursion, and performance tuning.
What visualization skills are covered? expand_more
Matplotlib and ggplot2 for static charts; Tableau and Power BI for interactive dashboards.
Is Big Data included? expand_more
Yes—data processing with PySpark and hands-on practice with cloud platforms.
Do you cover cloud platforms? expand_more
Yes—projects on Google Cloud Platform (GCP) and Microsoft Azure.
Which databases are used? expand_more
MySQL, SQL Server, and PostgreSQL for setup, management, and querying.
Will I learn data cleaning and wrangling? expand_more
Yes—transformation, standardization, and handling missing values are core modules.
Are soft skills part of the program? expand_more
Yes—critical thinking, problem solving, communication, and data storytelling.
Is there a capstone project? expand_more
Yes—scope, analyze, visualize, and present a real-world project end to end.