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Top 10 Data Science Courses in Ballarat With Placements

Data Science is considered to be one of the most popular professions of the 21st century. Data science knowledge is a sought-after asset in every organization and firm. In this article, we provide an overview of data science, including job roles, the lifecycle of data science, components of data science, its usage, etc. Because data science is such a sought-after career option, many people may also be wondering how to get started in this field. Hence, we have also listed the top 10 data science courses in Ballarat.

List of top 10 data science courses in Ballarat

What is Data Science?

Data science is defined as the systematic and disciplined approach to the comprehensible understanding of a large amount of data; it is the process of identifying the hidden patterns from the raw or structured or unstructured data using scientific methods technologies and algorithms.

It is an interdisciplinary area that employs instruments and methods to manipulate information in a manner that allows you to discover something novel and relevant.

Data science makes use of the best computational hardware as well as the most effective programming languages and algorithms to solve data-related issues.

In Short, Data Science is About:

  • Identifying the right questions to ask and working on the data or information that has been collected.
  • Analyzing the data with different intricate and effective techniques of modeling algorithms.
  • Combining the data with other forms of visualization for a different perspective.
  • Interpreting information to make efficient decisions and searching for the ultimate answer.

An example can be used to understand the concept better. Let’s suppose we want to use the car to travel from station A to station B. Now there should be some decisions like which path is better or will reach faster at the place, which path will have no traffic signal, and which will be cheap.

These choices will become the input data and accordingly, we will get a suitable answer to these decisions which is why this study of data is known as data analysis which falls under data science.

Need for Data Science:

A few years back data was scarce and was always in a highly formatted format that could be easily imported into Excel sheets and processed through BI tools. However, in the contemporary world, data is growing to form big data.

There is a data explosion with many bytes of data being generated every day. Every Company needs information to run their operations, expand their ventures, and enhance their establishments.

However, management of such voluminous data has become a difficult task for every organization today. Therefore, to manage, process, and analyze this, we needed some strong, sophisticated, and effective algorithms and technology, which led to the emergence of Data Science.

The following are some main reasons for using data science technology:

  • The use of data science technology will enable us to transform a large amount of raw and unstructured data into useful information.
  • Data science technology is being opted for by various companies, whether the company is a big brand or a start-up. All those giants like Google, Amazon, Netflix, etc, who deal with such volumes of data, are applying data science algorithms to enhance the customer experience.
  • Data science is involved in such areas as working for automation of transport systems like developing a self-driving car, which is the future of transport.

Different kinds of predictions can be made with the help of data science including various surveys, elections, confirmation of flight tickets, etc.

 Check Out Some Advanced Courses In Data Science, 

Jobs in Data Science:

According to different surveys, it has been stated that the ‘data scientist job’ is emerging as the most demanding job of the 21st century because of the growing trend of data science.

Some people also referred to it as ‘the hottest job title of the 21st century’. Data scientists are professionals who can analyze the various sorts of statistical tools and machine learning algorithms to understand the data.

The average salary range for the data scientist will be $ 95000 to $ 165000 per annum, and according to different studies, around 11. 5 million new jobs are expected to be generated by the year 2026.

If you master data science, then you can get to know the different diverse positions in this field. The key job roles are listed below:

  • Data Scientist
  • Data Analyst
  • Machine learning expert
  • Data Engineer
  • Data Architect
  • Data Administrator
  • Business Analyst
  • Business Intelligence Manager

The Following is the Description of Some Crucial Job Positions in Data Science

1. Data Analyst:

A Data Analyst is a person who analyzes massive data, keeps records of various data and figures, and searches for peculiarities in this data. Finally, he suggests the visualization and reporting of the data for decision-making and problem-solving processes.

Skill required: To establish a good basis for data analysis, one should gain a sound knowledge of mathematics, business intelligence, data mining, and basic notions in the statistical field. The knowledge of computer languages and tools like MATLAB, Python, SQL, Hive, Pig, Excel, SAS, R, JS, Spark, and so on, will aid this process.

2. Machine Learning Expert:

The field of specialty is the machine learning engineer and specialist that utilizes diverse machine learning techniques in data science comprising linear regression, k-means, logistic regression, decision trees, random forest, and so on.

Skill Required: Data Structure and Algorithms, Artificial Intelligence and Machine Learning, Computing Languages such as Python, C ++R, Java, Hadoop, and others. It is also important that you should know of some of the certain algorithms, problem-solving analytical skills, probability, and statistics.

3. Data Engineer:

A data engineer deals with a large number of data sets and is involved in creating the data structure of a data science project. A data engineer is also involved in the processes of developing data sets used in modeling, mining, acquisition, and verification.

Skill required: To be specific, data engineers should have an in-depth understanding of SQL/MongoDB/Cassandra/HBase/Apache Spark/Hive/MapReduce, and programming language knowledge includes Python/C/C++/Java/Perl, etc.

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Components of Data Science:

  1. Statistics: Statistical analysis is one of the important areas of data science. Statistics is the process of acquiring, measuring, compiling, analyzing, and presenting quantitative data in large quantities and evolving useful information from it.
  2. Domain Expertise: In data science, domain knowledge is the glue that holds all of data science together. Domain expertise can be defined as the specialized knowledge or skills in an area. In data science, there are various fields for which we require domain knowledge.
  3. Data engineering: Data acquisition and preparation, both, are referred to as data engineering, as it is a subset of data science. Data engineering also adds the data about the data dubbed as metadata to the data.
  4. Visualization: Data visualization is the meaning of an attempt to represent data using figures that may be easily understood by people and give meaning to data. In others, it simplifies the details of the big data in visuals making it easy to access the data.
  5. Advanced computing: is a process that includes the creation, coding, troubleshooting, and sustaining of the source code of computer programs.
  6. Mathematics: Mathematics is the core component of data science. In its simplest terms, mathematics is the branch of knowledge that deals with quantity, structure, space, and change. A good knowledge of mathematics is mandatory for a data scientist.
  7. Machine learning: Machine learning can be seen as the fundamentals of data science. As the name implies, machine learning is all about giving instructions to a machine so that it becomes like the human brain. In data science, there are several machine learning algorithms that we apply to solve the problems.

Data Science Lifecycle:

1. Discovery: The first of these is the discovery phase, which refers to the asking of the right questions. Before starting any data science problem, one has to know how the project is going to look in terms of necessities, goals, and costs.

In this phase, we have to decide everything possible about the project like how many people are required, technology, time, data, and or an end goal and thus we can frame the business problem at the first hypothesis level.

2. Data preparation: Preprocessing of data is also often referred to as Data Wrangling. It involves- Data cleaning, Data Reduction, Data integration, and Data transformation.

All this can be easily accomplished when conducting the analysis, and after that, this data can be used for further processes.

3. Model Planning: In this phase, we have to decide as to what methods and techniques are available to define the relation between the input variables. In this approach, we will use techniques such as statistical formulas and graphs to determine how variables are related and what the data can tell us.

4. Model-Building: In this phase, the ‘model building’ process starts. We will use customer records and generate several data sets for training and testing. Various techniques like association, classification, and clustering, will be used while building the model.

5. Operationalize: In this phase, we will present the final reports of the project, briefings, codes, and technical documents that will address the project requirements and goals. This phase involves giving you a detailed picture of how the entire project, as well as other aspects of the solution, will perform on a smaller scale before going full scale.

6. Communicate Results: In this phase, the question to be answered will be whether or not we get to the goal that we have set in the first phase. The findings and the final result will be communicated to the business team.

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List of Top 10 Data Science Courses in Ballarat:

COURSEFEESDURATION
IIM Skills1774.69 + 18% Tax11 Months
Sydney Polytechnic Institute$44,000 2 Years
University Of Technology$948 (Per Credit)6 Months- Full Time

1 Year- Part-Time

Western Sydney University$35,5526 Months
Udacity$ 12434 Months
Udemy$ 80Self-paced
EDX$ 20001 Year 2 Months
IBM$ 1506 Months
Coursera$ 100Self-paced
Skillslash$ 3563 months

1. IIM SKILLS

IIM SKILLS provides data science courses in Ballarat that cover a wide range of topics including machine learning, data visualization, and statistical analysis. The course’s content is prepared by specialists and updated regularly to ensure that students’ skills stay industry-relevant.

Once registered in this course, students will have lifelong access to a learning management system that will allow them to access all recordings of live sessions as well as course materials.

Experts lead live sessions, and students can interact with them during class to clear up any confusion or ask questions. Students receive professional support and guidance to help them succeed throughout their careers, beginning with placement.

Hands-on projects and case studies enable students to learn by solving real-world challenges, giving them confidence in their abilities. Globally recognized accreditation enables students to validate their abilities and knowledge across multiple industries.

Course Curriculum

  • Statistics in Data Science
  • Data Science (AL & ML)
  • Data Science Using SQL
  • Data Science Using Power BI
  • Data Science Using Python
  • Data Science Using Tableau
  • R For Data Science
  • Data Science Using Alteryx

Course Name – Data Science Course

Fee – 1774.69 AUD +18% GST

Duration – 11 months

Contact Information:

Phone: +91 9580740740

Website: iimskills.com

2. Sydney Polytechnic Institute

It is one of the best data science institutes in Ballarat that offers a graduate certificate in data science. The course covers in-depth data science principles, tools, approaches, and methodologies.

Students holding a bachelor’s degree in any discipline may apply for this course. After completing their data science courses in Ballarat students can apply for a diploma or master’s degree.

This institute covers a wide range of topics to help students create a strong foundation. Students learn from experts and experienced professionals who are eager to share their knowledge.

Curriculum

  • Programming Foundations
  • Mathematical Foundations
  • Data Science Methodology
  • Database Systems and Infrastructure
  • Machine Learning and Data Mining
  • Data Science Research and Ethics
  • Artificial Intelligence and Innovation
  • Data Science Capstone Project
  • Data Visualization and Tools
  • Big Data Infrastructure and Processing
  • Cloud Computing and Application Development

Elective Units

  • Business Intelligence and Analytics
  • Decision-Making for Analytics
  • Unstructured Data and Computer Vision
  • Mixed Reality
  • Autonomous Theory and Programming Robots
  • Language Processing and Applications
  • Game Designing
  • Foundations and Applications of Fin-Tech

Contact Details

Phone Number- +61 2 90576409

Website- https://spi.nsw.edu.au/master-of-data-science/

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3. The University of Technology

The University of Technology is one of the best data science institutes in Ballarat that offers graduate degrees. The curriculum covers basic principles as well as advanced subjects.

After graduation, students can pursue a diploma or a master’s degree in data science and innovation. This course combines foundational theories, industrial expertise, and real-world projects to teach students how to address real-world problems.

Their data science courses in Ballarat are meant to help students learn quickly. The course incorporates both online and in-person learning experiences.

Course Curriculum

  • Mathematics, Statistics, and Programming
  • Exploratory Data Analysis
  • Data Science Practices
  • Databases and APIs
  • Machine Learning Supervised Learning Regression
  • Classification
  • Machine Learning – Unsupervised Learning
  • Decision Trees and Ensemble Methods
  • Natural Language Processing (NLP)
  • Artificial Intelligence
  • Machine Learning Deployment
  • Cloud Computing

4. Western Sydney University

It is one of the best data science institutes in Ballarat and it provides graduate certificate programs. They include options for a year diploma, a bachelor’s degree, and a master’s degree program.

Their data science courses in Ballarat for students, which emphasize practical experience, encompass all of the essential techniques and instruments for successful data scientists.

Students get taught by experts and individuals with considerable experience in the subject area.  There are full-time options and part-time options. Scholarships based on donor funds can be applied for by talented students.

Curriculum

  • Programming for Data Science
  • The Nature of Data
  • Big Data
  • Data Science
  • Probabilistic Graphical Models
  • Predictive Analytics
  • Social Media Intelligence
  • Visualization

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5. Udacity

Udacity’s program is designed in collaboration with IBM industry specialists to be up-to-date with industry demands. The data science courses in Ballarat include all the topics from the basic level to the more advanced level that are needed in the progression of the subject.

In their data science institutes in Ballarat, the students learn through practical projects that enable them to make decisions. Students obtain an internationally accredited certification that confirms their skills in the global job market.

Course Curriculum

  • Introduction to data science
  • Data wrangling
  • Exploratory Data analysis
  • Machine learning fundamentals
  • Model evaluation and validation
  • Data Engineering
  • Capstone project

Contact Details:

Website- https://www.udacity.com/

6. Udemy

It is an online learning platform that provides many certifications in different fields and subjects to make you an expert. Data science courses in Ballarat encompass a range of tools and concepts. Lifetime access is granted once a course has been bought.

Tutors are professionals with deep subject knowledge and many years of practice in data science. Udemy is among the best data science institutes located in Ballarat and the fact that students can study from any location makes them not to be under any pressure to finish the courses.

Course Curriculum

  • Big Data
  • BI
  • Machine Learning
  • Types of Machine Learning
  • Programming Languages and Software
  • Basic Probability Formula
  • Computing Expected Values
  • Fundamentals of Combinatorics

Contact Details

Website- https://www.udemy.com/

7. EDX

EDX is a popular platform that offers excellent courses. Their data science courses in Ballarat are developed by MIT’s highly skilled specialists and professionals. The course provides in-depth knowledge of many themes and approaches in data science, preparing students to attain their maximum potential.

EDX provides industry-relevant education that covers all necessary topics and tools. MIT instructors who are professionals in data science teach students about various topics. Students gain worldwide recognized qualifications, which are highly valued in industry.

This helps individuals launch their professions by demonstrating their skills and abilities. It is one of the greatest data science institutes in Ballarat to consider.

Course Curriculum

  • Probability
  • Fundamentals of Statistics
  • Machine Learning with Python
  • Linear Models
  • Deep Learning
  • Statistics
  • Data Analysis in Social Science
  • Statistical Modeling and Computation

Contact Details

Website-https://www.edx.org/

8. IBM

These data science courses in Ballarat were created by industry experts and seasoned IBM professionals. The specialists share their extensive experience with students, teaching them about the most recent data science tools and methodologies.

The course has no set deadlines. Students do not need to worry about completing it quickly. They can study at their own pace. Students receive an industry-recognized certificate from IBM to demonstrate their abilities.

Course Curriculum

  • What is Data Science?
  • Tools for Data Science
  • Data Science Methodology
  • Python, AI & Development
  • Python Project
  • Data Analysis
  • Data Visualization
  • Machine Learning
  • Applied Data Science Capstone

Contact Details

Website- https://www.ibm.com/training/badge/data-science-professional-certificate

9. Coursera

Coursera is a popular website that provides several courses in a variety of areas and specializations. Their data science courses in Ballarat were developed in partnership with Johns Hopkins University.

Students can learn from professionals who are passionate about sharing knowledge and gain globally recognized certification to demonstrate their skills. The course is self-paced, allowing students to learn according to their schedule.

Course Curriculum

  • The Data Scientist’s Toolbox
  • Getting and Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research
  • Statistical Inference
  • Regression Models
  • Practical Machine Learning
  • Developing Data Products
  • Data Science Capstone

10. Skillslash

Skillslash is one of the well-known data science institutes in Ballarat that seeks to educate students with extensive practical knowledge of data science through interactive seminars and projects. It covers a wide range of topics, including programming fundamentals and advanced techniques.

Their data science courses in Ballarat offer world-class training from outstanding faculty. Students receive valued certifications from Microsoft. Live interactive classes and hands-on projects enable them to gain practical knowledge as well.

Curriculum

  • Introduction
  • Programming Essentials
  • Applied Statistics
  • Advance Machine Learning
  • Deep Learning
  • NLP
  • Computer Vision
  • Explainable AI and Risk management
  • Tools

Contact Details

Website- https://skillslash.com/

Frequently Asked Questions

1. What is the Length of the Data Science Courses?

The duration of courses at data science institutes in Ballarat varies, it can range from three months to two years.

2. What Tools Are Taught in Data Science?

SQL, Tableau, Python, and Power BI are some of the tools used in data science.

3. What Are Some Employment Options After Completing Data Science Courses in Ballarat?

After completing a course at any data science institutes in Ballarat, you may be able to work as a data analyst, data scientist, business analyst, data engineer, or in a variety of other professions.

Conclusion

This article includes a list of the top Data science institutes in Ballarat. Those candidates who are keen to pursue this field have several employment opportunities. After completing the course, they can choose from a variety of careers.

Thus, data science will be the foundation of any firm, so mastering this skill is critical. We hope this post helps you choose the best Data Science courses in Ballarat and reach your goals.

I’m Bhavni. I have completed my Masters in Clinical Psychology and am an enthusiast of everything related to the human brain. I hope to disseminate information about mental health, and well-being and help destigmatize it through my writings. I find my solace amongst the pages of a book and the lines of my writing. Books help me expand my creative thoughts and writing helps me articulate those thoughts. My ambition is to write stories and craft narratives that become a source of inspiration for others.

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