World Class Data Science And Machine Learning Course - January Cohort Online Classes

  • Africa Data School
  • Remote
  • 12/11/2020
Part time,   Training Course   Accounting Jobs in Uganda Business Administration Jobs in Uganda Database Technology Jobs in Uganda Engineering Jobs in Uganda Finance Jobs in Uganda Information Technology Jobs in Uganda Micro Finance Jobs in Uganda Research Jobs in Uganda Software Development Jobs in Uganda Computer Science jobs in Uganda

Description

Join the Africa Data School January 2021 cohort, a 3 months program for self-driven graduates.

The course will be offered online due to the COVID 19 pandemic

It offers graduates the perfect opportunity to transition into the job market and to kick-start their careers in the corporate world in Artificial Intelligence.

The Africa Data School is an intensive 12-weeks program offering courses in Data Science, Machine learning, Deep learning, Natural language Programming, Big data and Computer vision. It is an opportunity for young graduates to have their first stepping stone of their career as a data scientist. Our certified trainers provide you with comprehensive training sessions based on your strengths, weaknesses and future career preference, which will greatly increase your competitiveness in the job market.

Course Fee is USD 350 (UGX 1,310,351)

Follow this link to register for the January 2021 Cohort: https://airtable.com/shrfRK2sUxys8JGxN

Responsibilities

We are looking for ambitious and talented graduates, who hold a university degree/diploma in any field or have at least 3 months of work experience. Above all, we like to have driven, proactive graduates with a passion for machine learning, artificial intelligence, data science and the desire to make a difference.

The application criteria are as follows:

  • You must be willing to learn and commit to the 12-weeks training.
  • You must have a laptop and access to the internet (Classes are online).
  • You must commit to attending ALL the training sessions, except in cases of any illness or emergency.

EXPECTATIONS

You can expect:

Professional development

A 12 Week high-level skills training designed to develop your professional skill set. All the workshops will teach transferable skills, designed to be beneficial across a range of industries and career paths, but also give information and advice specific to the employer.

Certificate

Certificate upon successful completion of the program

  1. Microsoft Certified: Azure AI Engineer Associate
  2. Microsoft Certified Azure Fundamentals
  3. Data Science and Machine learning (ADS)

Job search

Utilizing our networks and creating networks of your own will provide you with the best opportunities to find a job as a data scientist.

Projects

Students will develop a machine learning project of their choice that they will pitch, build, and present.

Project examples:

  • Object Detection
  • Voice recognition

Follow this link to register for the January 2021 Cohort: https://airtable.com/shrfRK2sUxys8JGxN

 

TAGS: Statistics, Data Mining, Machine Learning Techniques, SQL, Data mining Frameworks, R, Engineering, Programming, Algorithms, Data Science, Business Intelligence, Data Visualization, Business Intelligence Tools, Data Sources, Intelligence, JAVA, Scala, Unstructured Data, BSC, Tableau, Hadoop, Analytical Mind, Business Acumen, Computer Science, Python, Data Products, Visualization, Query, Recommendation, Fraud, Fraud Detection, Classifiers, Ad-Hoc, Third Party, Data Collection, Anomaly Detection, WEKA, Numpy, Matlab, Visualisation, D3.Js, HIVE, Ensemble, Nosql, Databases, Mongodb, Hbase, Currently Scripting, Programming Languages, Primary Focus, Business Insights, Highly Analytical, Interpreting Data

Follow this link to register for the January 2021 Cohort: https://airtable.com/shrfRK2sUxys8JGxN

Level of Experience

Intermediate

Application deadline

03/01/2021

We do not ask for any fees (refundable or non-refundable) at any stage of the job application and or recruitment process. We, therefore, appeal to job seekers not to respond to any such requests.

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