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Data Analyst

Study Method
Online, Virtual
Institution
Simplilearn
Start Date
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  •  Flexible Payment Plans Available

Course Overview

Embark on a data-driven journey and kickstart your career with our accelerated Data Analyst Bootcamp, delivered by Simplilearn in collaboration with IBM. This comprehensive course equips you with essential data interpretation, visualisation, and analytics skills. Gain hands-on experience with tools like SQL, R, and Python, and master techniques such as descriptive and inferential statistics, hypothesis testing, and predictive analytics. With expert-led training and practical applications, you’ll be prepared to excel in the dynamic field of data analytics and gain a competitive edge in your career.

Transform your career in the field of Data Analytics by deep diving into all angles of data interpretation and gain a competitive edge in your field.

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Who's It For?

The Data Analyst Bootcamp course is suitable for both newcomers and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue this course, including:

  • IT professionals
  • Banking and finance professionals
  • Marketing managers
  • Sales professionals
  • Supply chain network managers
  • Beginners in the data analytics domain
  • Students in Undergraduate and Post-graduate programs

Job Outcomes

Potential career outcomes could include:

  • IT Data Analyst

  • Junior Data Analyst

  • Data Technician

  • Data Analytics Manager

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What You'll Learn

By the end of this Data Analyst course you will:

  • Grasp key statistical concepts like measures of central tendency, dispersion, correlation, and regression.

  • Master SQL fundamentals and SQL commands.

  • Write your first Python program covering variables, strings, functions, loops, and conditions.

  • Work with Python structures such as lists, sets, and dictionaries, and understand objects and classes.

  • Handle data in Python using Pandas, including file operations and data manipulation.

  • Apply data analytics in Python with NumPy, SciPy, and Scikit-Learn for machine learning.

  • Utilise Python libraries for data visualisation, including Matplotlib, Seaborn, and Folium.

  • Learn R programming basics and script writing.

  • Understand linear and non-linear regression models and classification techniques.

  • Explore clustering methods like K-means and hierarchical clustering.

  • Gain foundational knowledge in business analytics with Excel and visualisation tools like Power BI.

  • Become proficient in Tableau, including creating interactive dashboards and using advanced visualisation techniques.

Study Method

  • Online
    Online delivery - online course content with the exception of assessments and work placement
  • Virtual
    Virtual Delivery - Live and interactive classroom-style learning conducted completely online
  • Blended
    Blended delivery - both online course content and partial face to face requirements
  • In-class
    In class delivery - predominately face to face course content conducted at a specific location

Duration Study Load

  • 5-7 months
  • 12 months access

Delivery

  • 100% online

Entry Requirements

Professionals wishing to succeed in this course should have basic knowledge of mathematics.

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Course Features

Tools covered:

  • Microsoft Excel

  • MySQL

  • NumPy

  • Pandas

  • PowerBI

  • Python

  • R

  • SciPy

  • Tableau

Interpersonal skills you will learn along the way:

  • Analytical thinking

  • Communication skills

  • Data-driven decision making

  • Critical thinking skills

Career Outcomes

Data analyst

Salary: $95k AUD

A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They work in many industries, including business, finance, criminal justice, science, medicine, and government.

Business analyst

Salary: $115k AUD

A business analyst reviews and analyses business processes, optimise processes, oversees project teams, and manages to report and communicate technical information back to the business. They commonly work closely with information technology and can be found across a range of business departments, where necessary to map out company requirements and meet business goals.

Data analytics consultant

Salary: $139k AUD

A data analytics consultant specialises in reviewing data to discover insights and offers expertise in data management. Data analytics consultants use the results of their data analysis to make predictions and help guide accurate business decision-making through data-informed strategies.

Subjects

Be a data analyst expert by deep-diving into the fundamentals of data analytics over seven courses. This Data Analyst Online Bootcamp course is a highly comprehensive course that, upon completion, showcases your rich understanding and industry-related training in the data analytics field.

Throughout this course, you will learn applied knowledge and hands-on skills by working on various simulations, real-world projects, and case studies. The content details for this online course are summarised below.

Course 1Business Analytics with Excel

Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics. This combined with an official certificate will put you on the path to a successful career.

– Lesson 01: Course Introduction
– Lesson 02: Introduction to Business Analytics
– Lesson 03: Data Cleaning and Preparation
– Lesson 04: Formatting, Conditional Formatting, and Important Functions
– Lesson 05: Spotlight
– Lesson 06: Analysing Data with Pivot Tables
– Lesson 07: Dashboarding
– Lesson 08: Business Analytics with Excel
– Lesson 09: Spotlight
– Lesson 10: Data Analysis Using Statistics
– Lesson 11: Using Macros for Analytics
– Lesson 12: Spotlight

Course 2SQL

This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, subqueries, and various functions to manage your SQL database for scalable growth.

– Lesson 01: Course Introduction
– Lesson 02: Introduction to SQL
– Lesson 03: Database Normalization and Entity Relationship (ER) Model
– Lesson 04: MySQL – Installation and SetUp
– Lesson 05: Working with Database and Tables
– Lesson 06: Working with Operators Constraints and Data Types
– Lesson 07: Functions in SQL
– Lesson 08: Subqueries, Operators, and Derived Tables in SQL
– Lesson 09: Windows Functions in SQL
– Lesson 10: Working with Views
– Lesson 11: Stored Procedures and Triggers in SQL
– Lesson 12: Performance Optimization and Best Practices in SQL

Course 3Programming Basics and Data Analytics with Python

Learn how to perform data analysis with Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using Scikit-learn. You will utilise the basics of Python to explore and analyse many different types of data. Learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualisations, predict future trends from data, and more.
Section 1:

– Lesson 1: Learning Objective
– Lesson 2: Introduction
– Lesson 3: Data Wrangling
– Lesson 4: Exploratory Data Analysis
– Lesson 5: Model Development
– Lesson 6: Model Evaluation

Section 2:
– Lesson 1: Course Introduction
– Lesson 2: Introduction to Programming
– Lesson 3: Programming Environment Setup
– Lesson 4: OOPs Concept with Python
– Lesson 5: Programming Fundamentals of Python
– Lesson 6: File handling, Exception handling, and Package handling
– Lesson 7: Data Analytics Overview
– Lesson 8: Statistical Computing
– Lesson 9: Mathematical Computing using NumPy
– Lesson 10: Data Manipulation with Pandas
– Lesson 11: Data visualisation with Python
– Lesson 12: Introduction to Model Building

Section 3:

– Practice Projects

Course 4R Programming for Data Science

Discover R Programming with this introductory course. Learn how to write R code, utilise R data structures, and create your own functions.

– Lesson 1: R Programming for Data Science

Course 5Data Analytics with R

The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organisations that are adopting the power of analytics for competitive advantage.

– Lesson 01: Course Introduction
– Lesson 02: Introduction to Data Analytics
– Lesson 03: Introduction to R Programming
– Lesson 04: Programming Fundamentals of R
– Lesson 05: Data Manipulation Using R
– Lesson 06: Data Visualization in R
– Lesson 07: Hypothesis Testing
– Lesson 08: Introduction to Machine Learning
– Lesson 09: Classification
– Lesson 10: Clustering
– Lesson 11: Association Mining

Course 6Tableau Training

This Tableau certification course helps you master Tableau Desktop, a world-wide utilised data visualisation, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. A skill in Tableau is highly regarded by companies for data-related jobs and this course prepares you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and analysing outliers.

– Lesson 1: Course Introduction
– Lesson 2: Introduction to Data Visualisation and Tableau
– Lesson 3: Connecting to Various Data Sources and Preparing Data
– Lesson 4: Working with Metadata
– Lesson 5: Spotlight One
– Lesson 6: Filters in Tableau
– Lesson 7: Structuring Data in Tableau
– Lesson 8: Creating Charts and Graphs
– Lesson 9: Spotlight Two
– Lesson 10: Calculations in Tableau
– Lesson 11: Advanced Visual Analytics
– Lesson 12: Dashboards and Stories
– Lesson 13: Spotlight Three

Course 7Data Analyst Masters Capstone

Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers

– Lesson 1: Introduction

Optional electives

Optional electives are available as part of this Data Analyst Online Bootcamp Program. These are not mandatory to complete, but are available as additional courses to study if you are interested in expanding your knowledge and further implementing your skills.

Elective 1 – PL-300 Microsoft Power BI Certification Training
Elective 2 – Industry Master Class – Data Analytics

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Payment Options

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About Simplilearn

We are Upskilled, an Australian leading and award-winning education provider of professional training and education, who understands the importance of a student’s end goal.
We consult with Australian industry experts to ensure we fully understand industry training needs, and offer the most relevant online courses to support our students.
Upskilled seek out the world’s best online courses and partners to provide our students with an unmatched learning experience.
We believe in flexible learning that leads to core career outcomes.
Placing students learning experience at the forefront of everything we do, Upskilled has partnered with Simplilearn – the world’s number 1 online Bootcamp to deliver specialist IT courses, co-designed by industry-leading experts.
We always strive to innovate and understand your needs and interests as a student. If you’re looking to advance in your career, get in touch with our team of Australian-based consultants, who are with you every step of the way along your journey. We can point you in the right direction so that you can start on the pathway to building the career you love.

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