Check out my fresh new course on building and growing an online audience — 25% OFF Today Only!

Additional menu

Data Analyst

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.

The application is now closed.

Show your interest in 2023 cohort

Sent!

Take a step forward

Application Deadline:

09 November 2022

 Cohort begins November

Estimated Duration:

3 months

10 hours / week

Programme FAQs:

Click here

Qualifying for:

This course qualifies you to work as:

  • Data Analyst
  • Analytics Consultant

Prerequisites:

Python & SQL

See All Prerequisites

Prerequisites
  • 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

Mohit S.

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.

Sagarnil D.

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. 

Nicholas C.

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

Mentors &
Trainers