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Meet your Instructor:

Aaron Sampson
Instructor: Technology and Development

Meet your Mentor:

Carl Mullin
Mentor: Business/Technology and Developer

Data Analyst to Data Scientist

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

Data Architecture Primer

Data Engineering Fundamentals

Python for Data Science: Introduction to NumPy for Multi-dimentional Data

Python for Data Science: Advanced Operations with NumPy Arrays

Python for Data Science: Introduction to Pandas

Python for Data Science: Manipulating and Analyzing Data in Pandas DataFrames

R for Data Science: Data Structures

R for Data Science: Importing and Exporting Data

R for Data Science: Data Exploration

R for Data Science: Regression Methods

R for Data Science: Classification & Clustering

Data Science Statistics: Simple Descriptive Statistics

Data Science Statistics: Common Approaches to Sampling Data

Data Science Statistics: Inferential Statistics

Accessing Data with Spark: An Introduction to Spark

Getting Started with Hadoop: Fundamentals & MapReduce

Getting Started with Hadoop: Developing a Basic MapReduce Application

Hadoop HDFS: Introduction

Hadoop HDFS: Introduction to the Shell

Hadoop HDFS: Working with Files

Hadoop HDFS: File Permissions

Data Silos, Lakes, & Streams: Introduction

Data Silos, Lakes, and Streams: Data Lakes on AWS

Data Silos, Lakes, & Streams: Sources, Visualizations, & ETL Operations

Data Analysis Application

Final Exam: Data Analyst

Deploying Data Tools: Data Science Tools

Delivering Dashboards: Management Patterns

Delivering Dashboards: Exploration & Analytics

Cloud Data Architecture: DevOps & Containerization

Compliance Issues and Strategies: Data Compliance

Implementing Governance Strategies

Data Access & Governance Policies: Data Access Oversight and IAM

Data Access & Governance Policies: Data Classification, Encryption, and Monitoring

Streaming Data Architectures: An Introduction to Streaming Data

Streaming Data Architectures: Processing Streaming Data

Scalable Data Architectures: Introduction

Scalable Data Architectures: Introduction to Amazon Redshift

Scalable Data Architectures: Working with Amazon Redshift & QuickSight

Building Data Pipelines

Data Pipeline: Process Implementation Using Tableau & AWS

Data Pipeline: Using Frameworks for Advanced Data Management

Data Sources: Integration

Data Sources: Implementing Edge on the Cloud

Securing Big Data Streams

Harnessing Data Volume & Velocity: Big Data to Smart Data

Data Rollbacks: Transaction Rollbacks & Their Impact

Data Rollbacks: Transaction Management & Rollbacks in NoSQL

Final Exam: Data Ops

Developing a Growth Mind-set

Developing Your Business Acumen

Using Strategic Thinking to Consider the Big Picture

Using Active Listening in Workplace Situations

Choosing the Right Interpersonal Communication Method to Make Your Point

Building a Culture of Design Thinking

Enabling Business Process Improvement

The Essential Role of the Agile Product Owner

Innovating with Lean Product Management

Six Sigma Measurement System Analysis

Reaching Sound Conclusions

Capturing the Attention of Senior Executives

Data Wrangling with Pandas: Working with Series & DataFrames

Data Wrangling with Pandas: Visualizations and Time-Series Data

Data Wrangling with Pandas: Advanced Features

Data Wrangler 4: Cleaning Data in R

Data Tools: Technology Landscape & Tools for Data Management

Data Tools: Machine Learning & Deep Learning in the Cloud

Trifacta for Data Wrangling: Wrangling Data

MongoDB for Data Wrangling: Querying

MongoDB for Data Wrangling: Aggregation

Getting Started with Hive: Introduction

Getting Started with Hive: Loading and Querying Data

Getting Started with Hive: Viewing and Querying Complex Data

Getting Started with Hive: Optimizing Query Executions

Getting Started with Hive: Optimizing Query Executions with Partitioning

Getting Started with Hive: Bucketing & Window Functions

Getting Started with Hadoop: Filtering Data Using MapReduce

Getting Started with Hadoop: MapReduce Applications With Combiners

Getting Started with Hadoop: Advanced Operations Using MapReduce

Accessing Data with Spark: Data Analysis Using the Spark DataFrame API

Accessing Data with Spark: Data Analysis using Spark SQL

Data Lake: Framework & Design Implementation

Data Lake: Architectures & Data Management Principles

Data Architecture – Deep Dive: Design & Implementation

Data Architecture – Deep Dive: Microservices & Serverless Computing

Final Exam: Data Wrangler

Balancing the Four Vs of Data: The Four Vs of Data

Data Driven Organizations

Raw Data to Insights: Data Ingestion & Statistical Analysis

Raw Data to Insights: Data Management & Decision Making

Tableau Desktop: Real Time Dashboards

Storytelling with Data: Introduction

Storytelling with Data: Tableau & PowerBI

Python for Data Science: Basic Data Visualization Using Seaborn

Python for Data Science: Advanced Data Visualization Using Seaborn

Data Science Statistics: Using Python to Compute & Visualize Statistics

Advanced Visualizations & Dashboards: Visualization Using Python

Advanced Visualizations & Dashboards: Visualization Using R

R for Data Science: Data Visualization

Powering Recommendation Engines: Recommendation Engines

Data Insights, Anomalies, & Verification: Handling Anomalies

Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools

Data Science Statistics: Applied Inferential Statistics

Data Research Techniques

Data Research Exploration Techniques

Data Research Statistical Approaches

Machine & Deep Learning Algorithms: Introduction

Machine & Deep Learning Algorithms: Regression & Clustering

Machine & Deep Learning Algorithms: Data Preperation in Pandas ML

Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML

Creating Data APIs Using Node.js

Final Exam: Data Scientist

Slack iOS: Using the iOS App

Confluence: Signing in & Navigating within Spaces

Confluence: Setting Up & Managing Spaces

Confluence: Working with Spaces

Confluence: Working with Team Members

Confluence: Configuring Spaces

Slack Web: Signing in and Setting Up

Slack Web: Using Channels

Slack Web: Private Messaging and Communication Tools

Slack Web: Creating, Finding, and Sharing Information

Slack Web: Configuring Slack

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: 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: 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: 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

R10 995.00 or R11 495.00 on terms with R4 955.00 deposit and 12 monthly instalments of R545.00.

Certification:

International exams are optional and can be written at any Pearson Vue Testing Centre in South Africa.  Discounted international exam vouchers can be purchased through IT Academy.

Courses are accessible on a Computer, Laptop, Tablet or Smartphone. Courses are designed in video with audio, printable, includes One-on-One Mentoring, Free Virtual-LABS with feedback and exam preps. Learners are assessed after each lecture, all assessments can be retaken at no additional cost. Receive a .pdf and original Certificate within 1 week which can be added to your CV. International exams are optional and can be written at anytime, Click here to view Centres in your area. e-Mail info@it-academy.co.za to arrange your exam booking.

One-on-One Mentoring

Free Virtual-LABS

Mobile Ready (Tablet/Smartphone access)

100% Pass Rate / Course Mastery Certificate

Discounted International Exam Vouchers

Free Exam Preps

Printable

12 Month Subscription

Student Card

Payment Terms

Your Quick Course Guide

Certification: Data Analyst to Data Scientist

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

Vendor: IT Academy

Provider: IT Academy

Student support: One-on-One Mentoring

Pre-requisite: Individuals with some Programming and Maths knowledge

Assessment: Multimodal/Assessments

Resources: Laptop, Tablet or Smartphone & Internet Connection

Expertise Level: Beginners

Register

Anytime – 24/7 Access

Salary Indicator

SALARY PROJECTION

Average
salary after
completing

Junior
R193k
Average Salary
You can earn
R306k
Senior
R487k

High

Source: Payscale

R306k

You can earn an average
of R306,000.00 a year

Salary Indicator

SALARY PROJECTION

Average
salary after
completing

Junior
R193k
Average Salary
You can earn
R306k
Senior
R487k

High

Source: Payscale

R306k

You can earn an average
of R306,000.00 a year

Salary Indicator

SALARY PROJECTION

Average
salary after
completing

Junior
R193k
Average Salary
You can earn
R306k
Senior
R487k

High

Source: Payscale

R306k

You can earn an average
of R306,000.00 a year

What’s Included

Replace-trainer-img
  • One-on-One Mentoring
  • Free Virtual-LABS
  • Mobile Ready (Tablet/Smartphone access)
  • 100% Pass Rate / Course Mastery Certificate
  • Discounted International Exam Vouchers
  • Free Exam Preps
  • Printable
  • 12 Month Subscription
  • Student Card
  • Payment Terms

Testimonials

How Our Courses Work

Access your On-Demand, Cloud-Based Learning Anytime, Anywhere.

Courses are accesssible on a Laptop, Tablet or Smartphone.

Assessments after each lecture which can be retaken.

One-on-One Mentoring, Free Virtual-LABS with feedback.

IT Academy Course Mastery Certificate:

Receive a .pdf and original Certificate within 1 week which can be added to your CV.
Enquire about NQF Certification.

International Certificate:

Optional, can be written at anytime, click here to view Centres in your area. e-Mail info@it-academy.co.za to arrange your exam booking.

IT Academy Accreditation/Partners: CompTIA (512759) / Microsoft (1204038185) / MICT Seta (ACC2011/01/684)

Top Skills in demand by Companies in South Africa –
Software Development, Security, Data Analyst & Networking

What Sets Us Apart

  • Official Partnerships

Partners with IT certification vendors Cisco, CompTIA, Microsoft & MICT Seta

  • IT Experts

Courses are designed and led by Certified Professionals, Mobile Access

  • Award Winning

e-Learning content delivered via Video, Quizzes, Virtual labs & Mentoring

  • Virtual Practice Labs

Learn, Practice writing Code with instant feedback in a Live Environment

  • Live Mentoring

Free One-on-One Live Mentoring with Certified IT Experts

  • Practice Tests

Take Practice Tests designed to mimic the actual exam

How Do I Register?

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Complete The Registration Form.

Start Today!

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Complete The Registration Form.

Select A Payment Plan.

Start Today!

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