![[object Object] hero image](/_next/image?url=%2F_next%2Fstatic%2Fmedia%2FdataAnalysis.bbc8a624.png&w=1080&q=75)
DATA ANALYTICS
learn the latest analytics tools and techniques, how to work with SQL, the languages
of R and Python, the art of creating data visualizations, and how to apply statistics and
predictive analytics in a business environment.I
Chat with us
ADMISSION REQUIREMENTS
Educational Background:
- You don't need to have a certificate to apply for this diploma program. We expect anyone to take the program
Work Experience and Certifications:
- You don't need to have work experience to learn this traxk
Language Proficiency
- The Course is conducted in English, so applicants must have a basic understanding of the English language to effectively engage with the curriculum and participate in discussions.
COURSE OUTLINE
In this immersive 6-month Data analysis course, you will achieve the following learning outcomes
Introduction to the course
- Objectives and learning outcomes
- Excel Basics
- Overiew of Excel interface and features
- Data Manipulation
- Data entry and formatting
- Sorting and filtering data
- Using conditional formatting
Advanced Excel Functions
- Lookup functions (VLOOKUP, HLOOKUP)
- Data validation
- Text functions
Data Visualization
- Creating chearts and graphs(bar, line, pie, scatter)
- Pivot Tables and Pivot Charts
- Dashboard creation
Practical Exercise
- Dimpalt Technologies | Data Analysis Curriculum | obinwa Chinma Joy
- Module 2: Data Analysis with Power BI
Introduction to Power BI
- Overiew of Power BI and its components
- Connecting to data sources
Data Transformation and Modeling
- Using Power Query for data cleaning
- Data modelling basics
- Creating relarionships between tables
Data Visualization
- Creating and customizing visualiztion (charts,map,tables)
- Using slicers and filters
- Designing and interactive dashboards
Advanced SQL
- Subqueries and nested queries
- Using slicers and filters
- Designing interactive dashboards
Github for Data Analysts
- Introduction to Github and version control
- Creating a Github account
- Uploading projects and datasets
- Writing effective README files
- Best practices for code documentation
- Building a Portolio
- Importance of a professional portfolio
- Showcasing projects using Github Pages or other Platforms
- Tips for creating an impactful portfolio
- Creating a Professional CV
Key components of a data analyst CV
- Highlighting relevent skills and projects
- Tailoring the CV for different job applications
- Linkedin for Data Analysts
- Creating a LinkedIn account
Practical Exercise
- Setting up Github, LinkedIn, and portfolio site
- Uploading projects and optimising profiles
COURSE TUITION FEE
CAREER OUTCOME
Prepare to become a Data analyst
- Demonstrate your proficiency in portolio-ready projects
- Earn your Diploma Certificate
- Quality for in-demand job roles as a Data Analyst
Subscribe to Our News Letter
Subscribe today and get special offers, coupons and news