This
Data Analysis Course
is designed to equip learners with the essential skills to extract, analyze, and interpret data to drive informed decision-making. This comprehensive course covers the fundamentals of data analysis, including data collection, cleaning, visualization, and statistical analysis. Whether you’re looking to enhance your career or pivot into the growing field of data analysis, this course provides the practical knowledge and tools needed to succeed in a data-driven world.
Curriculum
- 4 Sections
- 43 Lessons
- 12 Weeks
Expand all sectionsCollapse all sections
- Module 1Microsoft Excel (Spreadsheet)11
- 1.0Introduction to Data Analytics
- 1.1Introduction to Microsoft Excel
- 1.2Menus and Cell Structures
- 1.3Understanding General Formatting
- 1.4Mathematical Operations
- 1.5Understanding Formulars and Functions
- 1.6Complex Formulars – Cell Referencing
- 1.7Quick Formatting and Analysis
- 1.8Pivot Tables in Excel
- 1.9Working with Charts
- 1.10Capstone Project – Business Analysis
- Module 2Microsoft PowerBI12
- 2.0Introduction to PowerBI and its components
- 2.1ETL in PowerBI
- 2.2Power Query Editor for Data Transform
- 2.3Introduction to Data Modelling
- 2.4Creating Visuals on Dashboards
- 2.5Building a Simple Sales Report
- 2.6Building a Sales Report with Calculated Fields and DAX
- 2.7Building an Intermediate Sales Report using Time
- 2.8Intelligent Functions and DAX
- 2.9Creating a Simple Financial Report using PowerBI
- 2.10Publishing and Saving PowerBI Reports
- 2.11Capstone Project-Social Media Storytelling
- Module 3Tableau11
- 3.0Visualization Types in Tableau
- 3.1Data visualization in tableau
- 3.2Connecting to various data sources
- 3.3Carrying out simple visualization
- 3.4Aggregation
- 3.5Tableau calculations
- 3.6Saving to tableau public
- 3.7Combining data together
- 3.8Join & Creating calculated fields
- 3.9Forecasting
- 3.10Capstone Project-Dashboard Stories
- Module 4SQL9
- 4.0Introduction to SQL
- 4.1Installing XAMP and PostgreSQL
- 4.2Database and Table (SQL CRUD, Export & Import)
- 4.3Select Statements
- 4.4SQL Aggregate Functions
- 4.5Operations, Concatenation
- 4.6Column Aliasing, Where Clause, Order By and Group By
- 4.7SQL JOINS Queries and Sub-Query
- 4.8Capstone Project – Sakila Database Query
This course is designed for anyone interested in learning data analysis, whether you're starting from scratch or looking to build on existing skills. It's ideal for aspiring data analysts, professionals seeking to enhance their analytical abilities, entrepreneurs wanting to make data-driven decisions, and students aiming to gain a competitive edge in the job market.
Basic computer skills and familiarity with the internet are recommended. A passion for Data and a desire to learn are key. No prior data analysis experience is necessary, as we cover all the essentials from the ground up.
Yes, upon successfully completing the course, you will receive a recognized certificate from BCT Academy, which you can showcase to employers or clients as proof of your expertise.
You will work on projects that involve real-world data sets, such as analyzing sales data to identify trends, building dashboards to visualize key performance indicators, and conducting predictive analysis to forecast future outcomes. These projects are designed to give you hands-on experience with the tools and techniques used by professional data analysts.
You'll gain proficiency in tools like Microsoft Excel, SQL, PowerBI, and Tableau. You'll also be introduced to data cleaning and preprocessing techniques, and learn how to visualize data effectively using Tableau and other visualization tools.
Absolutely! We offer flexible learning options, including fully online and hybrid formats. You can study at your own pace or join live sessions, depending on your preference.
You can enroll through our website or by contacting our admissions team. We offer flexible start dates throughout the year to accommodate your schedule.
Yes, we offer flexible payment plans to make the course accessible to everyone. Contact us for details on available options.
Requirements
- Willingness to Learn: An eagerness to engage with data and a passion for problem-solving.
- Internet Access: Reliable internet access is necessary for participating in online modules, completing assignments, and accessing data analysis tools and resources.
- Basic Computer Literacy: Familiarity with operating systems, internet navigation, and basic software applications (e.g., MS Excel).
Features
- Hands-on Projects: Engage in real-world data analysis projects to apply what you’ve learned.
- Expert Instructors: Learn from experienced professionals with deep knowledge of data analysis.
- Flexible Learning: Access course materials online at your own pace, with the ability to revisit lessons as needed.
- Certification: Receive a BCT Academy certification upon course completion, enhancing your resume and career prospects.
- Community Support: Join a vibrant community of learners and professionals for networking and support.
Target audiences
- Aspiring Data Analysts: Individuals looking to start a career in data analysis.
- Professionals Seeking Skill Enhancement: Employees in various industries who wish to incorporate data analysis into their roles.
- Entrepreneurs: Business owners who want to leverage data to make informed business decisions.
- Students and Recent Graduates: Learners who want to build a foundation in data analysis to enhance their academic or career prospects.
- Career Changers: Individuals from other fields looking to pivot into data analysis as a new career path.