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What to expect from this data analyst course.

Upon completion of this Data Analyst course in Sydney, students will receive certificates from IBM. The certificates will certify your skills as a data analyst. You will also:

24/7 access to IBM cloud platforms running IBM Watson and other software.

What are the learning objectives?

This Data Analyst course in partnership with IBM will help Candidate develop Candidates knowledge and skills in the field of analytics. Hypothesis testing, data merging, regression analysis, data mining, descriptive and inferential statistics and forecasting are all well covered in this Data Analyst course.

If Candidate have a basic understanding of mathematical concepts, Candidate can easily become an expert data analyst with the help of this course.

What skills will Candidate learn on this data analyst course?

This Data Analyst course will teach Candidate how to design statistical inference and implement algorithms to process large amounts of data, as well as advanced topics such as machine learning and natural language processing. Candidates will also learn:

  • Have a good understanding of SQL concepts such as universal query tools.
  • Understanding of essential statistical concepts such as variance, regression, correlation and measures of central tendency.
  • Candidate will learn how to read and write files, save data, load files, etc. Python.
  • Candidate will learn about statistical inference and modelling with R.
  • Deep dive into several data visualization libraries in Python, including Folium, Seaborn and Matplotlib.
  • Gain an understanding of DBSCAN, K-means and hierarchical clustering.
  • Learn business analytics using Excel.
  • Become an expert in Tableau statistics.
  • Learn visualisation techniques, namely market basket analysis, treemap, waterfall, a heat map and Gantt chart.

What projects are included in this data analyst course in Sydney?

This Data Analyst course in Sydney will use actual, real industry-related events, projects and case studies. Projects include:

Take a look at how large companies like Flipkart and Amazon are using business intelligence tools to perform category analysis.

Title - Category performance analysis

Description- In this performance evaluation program, the best-performing sub-categories are assigned to those sub-categories that have been consistently profitable over the last four years.

Understand how the NSE, BSE and NASDAQ use data analysis and analytics to extract actionable data from complex data sets.

Title - Stock market

Description- In this project, Candidate will learn how to import data using Yahoo data reader for companies namely Yahoo, Apple, Amazon, Google and Microsoft. Candidates will also learn how to perform a daily earnings analysis using a chart to show correlations between stocks, and plot stock trading charts by volume.

Candidates will learn how data analysis is used by banks, namely Citigroup, Bank of America, HDFC and ICICI.

Scope - Banking

Description – In this project, Candidates will learn how to analyse data from a marketing campaign carried out by a Portuguese banking institution. A marketing campaign was carried out by a Portuguese banking institution to convince its potential customers to invest in a fixed-term deposit with the bank. Candidates need to analyse the whole campaign and the data it generated.

Domain - Healthcare

Description- In this project, Candidates will learn predictive analytics and evaluate the effectiveness of trend forecasting. Historical and real-time data can be compared to judge the effectiveness and value of the data. The forecaster and the intervention are integrated back into one system.

Candidates will learn how data analysis is used by leading companies such as Target, Amazon and Walmart to analyse their product placement and inventory.

Domain - Retail

Description – In this project, Candidates will learn about optimising products and stock from shelf to warehouse. Participants will tend to learn the daily cycle of product optimisation from shelf to warehouse. This will help them to have regular insight into the developments taking place in the real estate industry.

Area - Insurance

Description – Predictive analysis has helped increase the volume of the insurance business. It has helped to increase the efficiency of companies. According to the 2013 Insurance Predictive Modelling Survey, predictive modelling has increased across the industry, with all people in companies writing more than USD 1 billion in personal insurance premiums using predictive modelling, compared to 69% of companies with premiums below this amount.

Who should take this data analyst course?

Data analyst courses are best taken by professionals with an analytical mindset at any level of education, including:

  • IT professionals
  • Banking and finance professionals
  • marketing managers
  • sales professionals
  • supply chain network managers
  • Data analysis beginners
  • UG/PG students

What are the prerequisites for this data analyst course?

Professionals who want to succeed in the Data Analyst course and its certification training must have a basic knowledge of mathematics.

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