Data Analyst to Data Scientist
Explore a career in data science with our online learning pathway. Tutor support and exam included.
Learning People
Summary
Payment options available
- Certificate of completion - Free
- Exam(s) / assessment(s) is included in price
- Tutor is available to students
- TOTUM card included in price What's this?
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Overview
This journey will first provide a foundation of data architecture, statistics, and data analysis programming skills using Python and R which will be the first step in acquiring the knowledge to transition away from using disparate and legacy data sources. You will then learn to wrangle the data using Python and R and integrate that data with Spark and Hadoop. Next, you will learn how to operationalize and scale data while considering compliance and governance. To complete the journey, you will then learn how to take that data and visualize it, to inform smart business decisions.
Course media
Resources
- Data Science -
Description
Demand for workers with specialist data skills like data scientists and data engineers has more than tripled over five years (+231%).
You will learn:
- Python for Data Science
- R for Data Science
- Statistics for Data Science #1
- Hadoop: Getting Started
- Spark: Up & Running
- HDFS: Up & Running
- Data silos, Lakes and Streams
- Data Wrangling w/ Python/Pandas
- MongoDB for Data Wrangling
- Cleaning Data in R
- Data Lakes in Practice
- Building Data Pipelines
- Accessing Data with Spark
- Getting Started with Hive
- Streaming Data Architectures
- Scaling Data Architectures
- Enterprise Governance Strategies
- Secure Data Sources from the Edge
- Data Rollbacks
- Governance Policies and Access
- Raw Data to Insights
- Data Pipeline to Tableau
- Creating RT Dashboards
- Powering Recommend Engines
- Advanced Architectures
- ML & DL Algorithms
- Storytelling with Data
When can I start?
You can enrol at any time - start today and live your best life with the next generation of online learning.
How will I learn?
Experience Percipio, an intelligent online platform that delivers an unrivalled immersive learning experience.
The simple interface will help accelerate your learning and increase utilisation, with one-click access to your content. You’ll work from your personalised learning playlist, designed to help you reach your career goals.
Why choose us?
- Training aligned with what employers are looking for
- Award-winning student support
- Career Services – exclusive to students
- Ongoing progress reports
- Exam booking support
- 91% pass rate
- All UK students receive a TOTUM student discount card
Career Services
During your studies, the Career Services team will equip you with the knowledge needed to tackle the complex jobs market and boost your employability.
By the time you’ve completed your course, you will have the tools and confidence to dive into a role that suits you.
You will receive a dedicated Career Services eBook, divided into 3 phases. Each phase will give insight into the jobs market with tailored support to guide your job search. You must complete the work included before unlocking the next phase of our Career Services.
Who is this course for?
Ideal for individuals who are comfortable working with data applications eg Excel.
Requirements
Familiarity with Python and Cloud systems.
Career path
Move through your career from a Data Analyst to a Data Scientist
Questions and answers
Certificates
Certificate of completion
Digital certificate - Included
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
