Data Analytics

Location

26, Farrar Avenue, Accra

Call Us Now

+233 302 256 941

info@2ndgenit.com

DATA

ANALYTICS

Our Data Analytics Course Overview

This course aims to provide participants with the essential skills and knowledge needed to excel in data analysis. By the end of the program, students will master key concepts in mathematics, statistics, Excel, SQL, Python, data visualization, and BI tools, enabling them to effectively extract insights from data and make informed decisions. Through hands-on projects, students will develop practical experience and critical thinking skills essential for success in today's data- driven environments.

Entry Requirements:

Applicant must have completed a basic form of education or higher.
Completed Computing Course.
Ability to read and write in English.

Coursework - Week-by-Week Curriculum:

Data Analytics- Course Outline

Week 1-2: Introduction to Data Analysis

- Overview of data analysis in today's world - Introduction to key concepts in mathematics and statistics for data analysis - Understanding the importance of data integrity and ethics

Week 3-4: Excel for Data Analysis

- Basic to advanced functions and formulas in Excel - Data manipulation and cleaning techniques - Introduction to data visualization in Excel

Week 5-6: SQL Fundamentals

- Introduction to relational databases - Writing basic to intermediate SQL queries - Data manipulation and aggregation with SQL

Week 7-8: Python Basics for Data Analysis

- Introduction to Python programming language - Data types, variables, and basic operations in Python - Working with libraries for data manipulation

Week 9-10: Advanced Python for Data Analysis

- Data cleaning and preprocessing techniques in Python - Exploratory data analysis (EDA) using Python - Introduction to statistical analysis with Python

Week 11-12: Data Visualization with Python

- Introduction to data visualization principles - Creating static and interactive visualizations - Dashboard creation using libraries like Dash

Week 13-14: Business Intelligence Tools

- Introduction to Business Intelligence (BI) and its importance - Exploring BI tools such as Tableau, Power BI - Creating interactive reports and dashboards for data analysis and presentation

Week 15-16: Capstone Project and Final Review

- Application of learned skills in a real-world data analysis project - Presentation of findings and insights - Final review and reinforcement of key concepts

We offer variety of classes to suit all types of students.

Our classes

Weekdays

We offer weekday classes to provide flexibility and convenience for individuals who prefer to dedicate their weekdays to learning and professional development in the field of IT.

Morning Session 9 am - 12 noon
Afternoon 1 pm - 4 pm
Evening Session 5 pm - 8 pm
Lab Work ( 1 Hour )

Weekends

We offer weekend classes to accommodate individuals with busy schedules, allowing them to pursue their passion for IT and advance their skills without disrupting their weekday commitments.

Morning Session 8 am - 12 pm
Afternoon 1 pm - 5 pm
Lab Work ( 1 Hour )

Assessment

Weekly quizzes and assignments

Mid-term and final projects

Capstone project evaluation

Active participation in class discussions

Resources

Textbooks and online resources

Access to computer labs for practical exercises

Online discussion forums for collaboration

Pathway to beyond excellence

What you should know about our Data Analytics course

Excel / SQL / Python

Certification Standard

Projects

Practical Hands-On Labs

16 weeks

Course Duration

Do you want to discuss your new career path?

Contact

Ready to Work Together

info@2ndgenit.com

Call Us On

+233 302 256 941