NANODEGREE PROGRAMME
Become a Data Analyst
This programme prepares you for a career as a data analyst by helping you learn to organise data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. You’ll develop proficiency in Python and its data analysis libraries (Numpy, pandas, Matplotlib) as you build a portfolio of projects to showcase in your job search.
Take a step forward

Application Deadline:
09 November 2022
Cohort begins November

Estimated Duration:
3 months
10 hours / week

Qualifying for:
This course qualifies you to work as:
- Data Analyst
- Analytics Consultant
- Proficient in spoken and written English
- Basic computer skills
- 18 to 35 years old
- ALX-T is open for all learners originally from the African continent, regardless of your location.
- Knowledge & experience working with data in Python (Numpy and Pandas) and SQL.
What Will You Learn?

Data Analysis with Python and SQL
Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualisations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.
Data Analysis Process
Learn about the key steps of the data analysis process.
Work with multiple datasets
Investigate multiple datasets using Python and Pandas.
Data Wrangling
Identify each step of the data wrangling process (gathering, assessing, and cleaning).
Data Visualisation with Python
Assess data visually and programmatically using pandas.
Categorising Data
Identify data quality issues and categorise them using metrics: validity, accuracy, completeness, consistency, and uniformity.
Explanatory vs exploratory Analysis
Know what distinguishes exploratory analysis from Explanatory analysis and the role of data visualisation in each.
Visual Encodings
Know different encodings that can be used to depict data in visualisations.
Storytelling
Know different encodings that can be used to depict data in visualisations.

Career Training
Get ready to propel your career trajectory by accessing our exclusive career readiness services integrated within your Nanodegree. Designed to help you navigate your way through your career journey and help prepare you for your next step!
Career Training
Become a Data
Analyst

Projects
Get a detailed resume review on your digital profiles – Linkedin, Resume, GitHub, and Cover Letter – from an industry professional to ensure your digital profiles effectively convey your abilities and get attention from employers.

Webinars
Attend and watch our bundle of career webinars, delivered by our Career Mentors, that aim to give you tips and tricks on your job hunt, how to craft your elevator pitch, and polish your digital profiles to reinforce what you have learned.

Mentorship & Coaching
Lean on your Career Mentors for further support by attending live Ask Me Anything Sessions and other webinars hosted by Career Mentors.

Online Dedicated Community Platform
Engage with your peers and Career Coaches during and after the programme on Udacity’s Community Platform to share your experiences, knowledge, and support one another.
Hear from Our Students
Absolutely Amazing! This Nanodegree programme not only helped me secure my dream job as Data Scientist but also opened a plethora of opportunities in data science by giving clear and easy to understand course instructions and quality study material. The assignments in each module were icing on the cake.
I am simply short of words to praise you guys. You have opened a whole new world to me. I feel so motivated every passing day and cannot wait to start applying my newly learnt skills in a related field.
Folks, there are so many good things about this degree programme. The instruction is excellent and the topic curation is very solid. It’s modern, with high quality sound and visuals. The flexible structure is also appreciated – the problem sets and quizzes were very useful.
Job-ready Talent
Superior Outcomes


Industry Relevant Content

Certified Certificate

Real-World
Projects

Student
Community

Career Growth
