Upcoming course: December 2022 | 250 Hours | 6 Months | Evening course
Your best path to a career transformation. This part-time data analyst (BI analyst) program features expert instruction, hands-on projects, and a real connection to the industry to get you hired.
In the digital kingdom where web and mobile applications help us manage nearly every aspect of our lives, data is king. Every digital action is visible and trackable, enabling corporations to accumulate and analyze vast amounts of both personal and business data. The use of ‘Big Data’ is driving disruption in every field — from vehicle navigation, through medicine, to cybersecurity.
Over the last few years, new professions like Data Analysts and Data Scientists have appeared on the market. Data Analysts, also known as Business Intelligence (BI) Analysts, examine large sets of data to identify patterns in the data. These patterns are then used to inform strategic business decisions.
Solve The World’s Most Interesting Problems
Become indispensable to employers with data analysis fluency. Harness the predictive power of data to work at the forefront of diverse industries like public policy, robotics, and FinTech.
Open Doors With Industry Connections
Equip yourself to succeed in a rapidly expanding field with help from our network of data experts, instructors, hiring partners, and alumni. The Data Analyst curriculum was created in collaboration with the industry’s leading companies to make our programs as relevant as possible to the local industry’s needs, assuring you’ll be job-ready as soon as the program ends.
Deliver a Professional Project
Throughout the program, practical skills are acquired through the completion of projects that tackle real-world data problems from end to end. You’ll gain hands-on experience with market-leading technologies, processing information, data analysis capabilities, business intelligence, and more, compiling a portfolio of projects designed to reinforce what you’ve learned in each unit.
Who Is the Program For?
Driven and motivated individuals with previous backgrounds or with no background at all, who wish to launch a highly sought-after career as a Data or BI Analyst.
Candidates for the program are required to have basic Microsoft Excel skills.
Top Notch Professionals
This unique program was built by a professional team made up of the leading experts in Data Science and Analytics, with vast knowledge and experience in training, too.
CEO of Wawiwa
Eran is a tech education entrepreneur with over 20 years of experience. Eran founded and managed four IT training companies: John Bryce Training (Israel), TRIG (China), JB-IQsoft (Hungary), KocBryce (Turkey). Eran also partnered to establish DAN IT Education (Ukraine), Techub (Georgia), and more. In addition, Eran managed Mentergy, which provides e-learning and distance learning solutions. Over the years, he was responsible for the reskilling of more than 50,000 individuals now working as tech professionals.
Chief Training Officer
Daniel is responsible for updating state-of-the-art topics in the company’s tech training programs, and for maintaining its training methodologies. Daniel was the Chief Trainer at the Israel Defense Force’s Tech Training Center and is a graduate of the IDF training process. He develops and delivers a wide range of programming courses, and is a Full-Stack Developer and Data Scientist.
Head of Data Analyst Program
Talia has over 10 years of experience in the IT industry having held the roles of Product Manager, Project Manager, and Data Solutions Manager where she specialized in data analysis in addition to her other responsibilities. She is a lecturer at G-Stat and both an academic director and lecturer at New Media College in Israel where she manages, teaches, and develops training materials for the data analysts courses. Talia is an expert in various development tools, including SQL, Python, Excel, and uniPaaS.
Our Graduates Have Been Hired By Industry Leaders
- General introduction
- Analyst role and capabilities required
- Analyst work circle
- Introduction to relational database
- Insights that can be derived from the data
- Introduction to MSSQL
- Introduction to work environment
- Basic SQL query
- Calculated columns
- Basic built in functions
- Sorting the results
- Grouping and aggregate
- Advance filtering
- Working with NULL values
- Join tables
- Conditional statement
- Related and unrelated nested queries
- Most common built in functions
- Window functions
- CTE (Common Table Expression)
- DML (Data Manipulation Language)
- DDL (Data Definition Language)
- Data analysis using analyst work circle
- Writing user scalar functions
- Stored procedure
- Basic and advanced filtering data
- Sorting data
- Common use build-in functions
- Connectivity to outer data source
- If functions
- Error handling
- What is analysis functionality
- Conditional formatting
- Charts and chart components
- Pivot tables
- Pivot charts
- Introduction to tableau
- Connect to data
- Basic chart types
- Advance chart types
- Combo chart
- Dual axis
- Total and subtotals
- Calculated fields
- Custom aggregations
- Logic statements
- Exporting a dashboard
- Python fundamentals
- Numpy basics
- Basic operations and use of operators
- Documentation – importance and how to document
- Variables and basic data types
- Python basic build in functions
- String slicing
- Introduction to Pandas package
- Import data from CSV
- Pandas data structures: DataFrame, Series
- Pandas descriptive methods (head (), tail (), info (), describe () etc.)
- Filter records by conditions
- Complex conditions
- Sorting data
- Retrieving data
- Handling NULL values
- Update data
- Grouping and aggregations
- Pivot table
- Cross tab
- Merging DataFrame methods
- Loops: For, While, Loop flow control
- Def functions
- Local and global variable
- Lambda function
- Apply method
- Connect to MSSQL
- Visualization with Matplotlib
- Visualization with Seaborn
- Adjusting the graph display
- Save data and pictures into Excel file
- Make your script a running program
- Big data
Data analytics is the science of collecting and analyzing raw data in order to make conclusions about that information.
A Data Analyst is a person who can skillfully extract this information using data modeling and inform management on what it needs to know for decision-making.
Day-to-day tasks focus on gathering data from a variety of sources according to predefined data sets and variables. Collected data is then cleaned up and validated for accuracy and uniformity. Using statistical tools, Data Analysts then analyze and interpret results to identify trends, patterns, and new opportunities from the data.
Data and predictive analytics are changing everything from medicine and manufacturing, to marketing, HR and education. The future of products and services all around us is being driven by data and the data professionals who know how to wield it.
Yes! All graduates who have successfully completed the program will receive a Data Analyst certificate.
Thousands of alumni use their course certificate to demonstrate skills to potential employers, along with their LinkedIn networks. Our data programs are well-regarded by many top employers, who contribute to our curriculum and partner with us to train their own teams.
If there are no restrictions, studies take place mainly at our physical center. In case of any travel or gathering restrictions, the program moves seamlessly online – with live interactive sessions with your trainers. Some learning materials – like class recordings and topics for self-study – can be watched on-demand from anywhere.
Register your interest, take a 1-hour online assessment test, and have a talk with one of our career advisors.
Don’t have a programming background? A 70-hour introductory program is available to close those gaps. Otherwise, all candidates take a computerized assessment to ensure that they have the right personality, as well as the basic math and logic skills, to complete the program and be successful in their future jobs. You might want to check out other programs that are suitable for individuals with no background in programming!