1:1 Coaching
UTAP Funded
Skills future credit claimable
90% Course Fee Subsidy for SG/PR
Globally Renowned Trainer
High Success Rate
Course Description
What to Expect From Advanced Insight from Data Training
Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the ecosystem, learning:
- How the open-source ecosystem of big data tools addresses challenges not met by traditional RDBMSs
- Using Apache Hive and Apache Impala to provide SQL access to data
- Hive and Impala syntax and data formats, including functions and subqueries
- Create, modify, and delete tables, views, and databases; load data; and store results of queries
- Create and use partitions and different file formats
- Combining two or more datasets using JOIN or UNION, as appropriate
- What analytic and windowing functions are, and how to use them
- Store and query complex or nested data structures
- Process and analyze semi-structured and unstructured data
- Techniques for optimizing Hive and Impala queries
- Extending the capabilities of Hive and Impala using parameters, custom file formats and SerDes, and external scripts
- How to determine whether Hive, Impala, an RDBMS, or a mix of these is best for a given task
Schedule
Course Outline
1. Exploring and Preparing your Data with BigQuery
This first course in this specialization is Exploring and Preparing your Data with BigQuery. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Cloud Dataprep to analyze and transform your datasets. This course should take about one week to complete, 5-7 total hours of work.
2. Creating New BigQuery Datasets and Visualizing Insights
This is the second course in the Data to Insights specialization. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Google Data Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.
3. Achieving Advanced Insights with BigQuery
The third course in this specialization is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.
4. Applying Machine Learning to your Data with GCP
In this module, we define what Machine Learning is and how it can benefit your business. You’ll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
Audience & Prerequisites
This specialization is intended for the following participants:
- Data Analysts, Business Analysts, Business Intelligence professionals.
- Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform.
Download Brochure
IBF Accredited Advanced Insight from Data Funded for SG/PR Singapore Training offers a 2-days Program, aimed at building Data Analyst, that can lead to your Advanced Insight from Data certification. Download the brochure and check the different Focus Areas covered within these 2 days of training.
Certification Assessment
By the end of the Data Insights Training, you’ll be able to query and draw insight from millions of records in our BigQuery public datasets. You’ll learn how to assess the quality of your datasets and develop an automated data cleansing pipeline that will output to BigQuery. Lastly, you’ll get to practice writing and troubleshooting SQL on a real Google Analytics e-commerce dataset to drive marketing insights.
- High Success rate
- Join Our Dynamic Community
- Training from Recognized Trainer
- Post-workshop support by the Coaches
Testimonials
Our clients praise us for our great results, personable service, expert knowledge, and on-time delivery. Here are what just a few of them had to say:
Funding & Price Chart
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Individual Sponsored Company Sponsored* (Banking and Finance) Company Sponsored* (Non Banking and Finance) Singaporeans age 40 and above (90% funding) Singaporeans age below 40 and all PRs (80% funding) Singaporeans age 40 and above (90% funding) Singaporeans age below 40 and all PRs (80% funding) (No Funding) Full Course Fee before GST $2,100.00 $2,100.00 $2,100.00 $2,100.00 $2,100.00 7% GST $147.00 $147.00 $147.00 $147.00 $175.00 Total Course Fee $2,247.00 $2,247.00 $2,247.00 $2,247.00 $2,275.00 Less: IBF Funding $2,022.30 $1,797.60 $1,890.00 $1,680.00 NA Net Fee Payable $224.70 $449.40 $357.00 $567.00 $2,275.00
Training FAQ's
For price please refer to this chart and contact us if you have any questions.
This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Some knowledge of SQL is assumed, as is basic Linux command-line familiarity. Prior knowledge of Apache Hadoop is not required.
The Data Insights Training teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, data visualization, and machine learning.
The Data Insights Training is a three-day course.
The Data Insights Training can be taken by Data Analysts, Business Analysts, Business Intelligence professionals. Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform can also take up this training.
With the Data Analytics industry predicted to grow 60 times in the next 10 years, this is the perfect time to equip yourself with the skills to analyze data and makes yourself the right fit for a career path that is in such huge demand. Drive insights from data while you sharpen your problem-solving skills and land high-paying jobs, with Data Insights Training.
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