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Data Analyst to Data Scientist Course

One-On-One Mentoring, Student Support, 24/7 Access, 100% Pass Rate, 12 Months Subscription


IT Academy

Summary

Price
£995 inc VAT
Or £82.92/mo. for 12 months...
Study method
Online, self-paced
Duration
160 hours
Access to content
12 months
Certifications
Microsoft Technology Associate (MTA) Database
Microsoft Certified Azure Fundamentals
Professional certification What's this?
Additional info
  • Exam(s) / assessment(s) not included in price, and must be purchased separately
  • Tutor is available to students

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Overview

Register for the Data Analyst to Data Scientist course through IT Academy.

There are 4 Tracks for the Data Analyst to Data Science course (Data Analyst, Data Wrangler, Data Ops and Data Science). Each stage of the journey delivers 40-50 hours of courses + multimodal content and an additional 10-12 Practice Labs, Certification Pre/Assessments.

Expertise Level: Beginners

Study Time: 12 Months to complete 200 hours eg study 1 hour per day to complete your course in 7 months | Study Full Time or Part Time.

Student support: One-on-One Mentoring

Access your Cloud-Based Learning on a Computer, Laptop, Tablet or Smartphone. Courses are designed in video with audio, printable, includes One-on-One Mentoring for Certification exams, Free Virtual-LABS for CompTIA, Cisco, CEH and CodeX courses, with feedback and exam preps. Learners are assessed after each module, all assessments can be retaken at no additional cost.

Courses include:

  • One-on-One Mentoring
  • 24/7 Access
  • Tablet/Smartphone Compatible
  • 100% Pass Rate / Course Mastery Certificate
  • 12 Months Subscription
  • Student Support
  • Printable

Certifications

Microsoft Technology Associate (MTA) Database

Microsoft Certified Azure Fundamentals

Awarded by Microsoft

Course media

Description

Data Analyst to Data Scientist Course includes:

MTA FUNDAMENTALS

98-364: MTA Database Fundamentals

DP-900: Azure Data Fundamentals

DP-900 Azure Data Fundamentals: Data Workloads
DP-900 Azure Data Fundamentals: Data Analytics
DP-900 Azure Data Fundamentals: Relational Data Workloads
DP-900 Azure Data Fundamentals: Relational Data Management
DP-900 Azure Data Fundamentals: Provisioning & Configuring Relational Data Services
DP-900 Azure Data Fundamentals: Azure SQL Querying Techniques
DP-900 Azure Data Fundamentals: Non-relational Data Workloads
DP-900 Azure Data Fundamentals: Non-relational Data Services
DP-900 Azure Data Fundamentals: Azure Cosmos
DP-900 Azure Data Fundamentals: Non-relational Data Management
DP-900 Azure Data Fundamentals: Azure Analytics Workloads
DP-900 Azure Data Fundamentals: Modern Data Warehousing
DP-900 Azure Data Fundamentals: Azure Data Ingestion & Processing
DP-900 Azure Data Fundamentals: Azure Data Visualization

Data Science: Track 1: Data Analyst

Data Science: Data Architecture Primer

Data Science: Data Engineering Fundamentals

Data Science: Python for Data Science

Data Science: R for Data Science

Data Science: Statistics

Data Science: Spark

Data Science: Hadoop

Data Science: Data Silos, Lakes, & Streams

Data Science: Data Analysis Application

Data Science: Track 2: Data Wrangler

Data Science: Data Wrangling with Pandas

Data Science: Cleaning Data in R

Data Science: Data Tools

Data Science: Trifacta for Data Wrangling Data

Data Science: MongoDB for Data Wrangling

Data Science: Hive

Data Science: Hadoop

Data Science: Spark

Data Science: Data Lake

Data Science: Building Data Pipelines

Data Science: Data Architecture

Data Science: Track 3: Data Ops

Data Science: Deploying Data Tools

Data Science: Delivering Dashboards

Data Science: Cloud Data Architecture

Data Science: DevOps & Containerization

Data Science: Compliance Issues and Strategies

Data Science: Implementing Governance Strategies

Data Science: Data Access & Governance Policies

Data Science: Streaming Data Architectures

Data Science: Scalable Data Architectures

Data Science: Data Sources

Data Science: Data Ops 16: Securing Big Data Streams

Data Science: Harnessing Data Volume & Velocity

Data Science: Data Rollbacks

Data Science: Track 4: Data Science

Data Science: Balancing the Four Vs of Data

Data Science: Data Driven Organizations

Data Science: Raw Data to Insights

Data Science: Tableau Desktop: Real Time Dashboards

Data Science: Python for Data Science

Data Science: Data Science Statistics

Data Science: Using Python to Compute & Visualize Statistics

Data Science: R for Data Science – Data Visualization

Data Science: Powering Recommendation Engines

Data Science: Data Insights, Anomalies, & Verification

Data Science: Data Science

Data Science: Machine & Deep Learning Algorithms

Data Science: Creating Data APIs Using Node.js

Requirements

There are no pre-requisites.

Learners need a computer, laptop or tablet and internet connection, courses are designed in video with audio and coupled with unlimited support.

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FAQs

What does study method mean?

Study method describes the format in which the course will be delivered. At reed.co.uk courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

What are CPD hours/points?

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on reed.co.uk, many of which can be completed online.

What is a ‘regulated qualification’?

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

What is an ‘endorsed’ course?

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body’s logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.