Overview

Data science is an ever growing field, as amount of data is increasing day by day due to over usage of internet sites and social apps so, companies also need large number of data experts to handle this amount.

Data Analytics is a journey from taking data samples to finding out astonishing outcomes from those data sets so, it’s better to be on the cutting edge rather lagging behind.

The value of data usage has increased opportunities but there are few specialists. This course provides you an opportunity to master this emerging technology so that you can stay ahead of the mob.

Who the course is for

  • This course is intended to benefit individuals looking forward to advance their career in data science.
  • This course is designed for persons already hands-on with data science or enthusiast willing to switch over their career to data science.
  • Anyone who wanted to stand out amongst the competition and make a big impression on potential employers, there is no better time than now to earn your data analytics certification if you’re serious about pursuing a career in data science.

What you'll learn

  • You will learn about the advance level of data analytics.
  • How to solve complex problems in organisation handing large data sets.
  • Advance level data encryption and visualisation.
  • Advance level data modelling.
  • Advance level of programming.

Curriculum

Data is becoming one of the most valuable resources on the planet. Data analytics is the science of analysing raw data to extract useful information and draw conclusions from it. Learn advance techniques for storing, analysing, manipulating and visualising data.

Understanding how to extract and manage large amounts of data is essential for teaching computers to solve problems. In this module, you will learn robust techniques for manipulating and interpreting data.

  • Database and Structured Data
  • MS Excel
  • MS Access

Understanding how to extract and manage large amounts of data is essential for teaching computers to solve problems. In this module, you will learn advance techniques for manipulating and interpreting data.

  • Database and Structured Data
  • MS Excel
  • MS Access

In this module, you will learn how to analyse data and create effective models that describe the behaviour of data systems using

  • Statistical Methods
  • Mathematical Modelling
  • Charts, Graphs, and Maps
  • Animations

Python is a powerful open source programming language that has many packages that are dedicated to machine learning applications. In this module, you will learn how to write a few simple scripts for manipulating data.

  • Using the Anaconda distribution with Jupyter Notebook and Python
  • Python IDLE, shell and syntax basics
  • General arithmetic functions, properties and data types
  • Creating & using variables
  • Simple python functions
  • Importing functions from other distributions
  • Soliciting operator input to your programs
  • Simple Lists, Tuples, Sets and Dictionaries
  • Simple Loops and Software structs

Big data refers to the manipulation and analysis of extremely large data sets with the aim of revealing new patterns and trends that emerge from the data as whole. In this module, you will learn specific techniques for managing and modelling big data sets using Apache Hadoop. Apache Hadoop is a collection of open-source data tools that use many computers to solve problems involving large amounts of data and computation.

  • Basics of Java
  • Hadoop Common- libraries and utilities needed by other Hadoop modules
  • Hadoop Distributed File System (HDFS)- a distributed file system for storing data
  • Hadoop YARN- a platform for managing computing resources in clusters
  • Hadoop MapReduce – a programming model for large-scale data processing.

In this module, you will have the opportunity to implement many of the techniques you have learnt into a real scenario and use data analytics to model and visualise your data. You will be given a case study with data set and a task to apply your learning into practical.

Prerequisite

Basic knowledge of STEM based learning upto Cert III or Cert IV is desired but not mandatory or have accomplished Foundation Course in Data Analytics from Techlearn

Career Outcomes

After completing this program, you will learn to ingest and manipulate any size datasets, identify solutions to deal with data quality issues, you will learn to solve problems using data science techniques and tools.

Career opportunities include:

  • Data Scientist
  • Data Analyst
  • Data Maintainers

Did you know?

  • Have you ever dreamed of working for a Fortune 500 company, such as Amazon or Facebook? If so, earning a data analytics certification can be your first step at landing you a job at one of the many Fortune 500 companies actively hiring data scientists.
  • You don’t have to necessarily possess a degree or a Ph.D. to know the fundamentals of analytics. You need to be capable of working on analytics tools and understand the basics of data processing to get started.
Data Analytics

6 month course

On Demand - Instructor Led Online

Aug - Dec 2020

4,500

Techlearn Online Lab
Techlearn Online Lab

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