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AI Analytics Engineer - Syllabus

Objective

Train and qualify the student to think and act as an experienced employee. We use a real game to practice working by the best practices in these domains:

  • Business thinking
  • Technical skills
  • Team work
  • Employee - manager relationship
  • Company - Startup / HiTech mentality
  • AI tools & Statistics

Instructor - Liad Livne

Over the last 3 years, since I founded ppltx, our training methods have helped dozens of our students find a job and integrate in Hi-Tech companies and other companies.

The high quality of the training, our success and our networks help our students get interviews and succeed.

After 12 years in the HiTech industry, mainly in leading Gaming and App companies, I founded my own company, ppltx, which combines my favorite domains: People & Analytics. In my career I designed and established Analytics and BI systems from scratch, and built and led strong teams. I worked in diverse companies, from startups to corporations.

Still, recruiting and training a good employee who will fit and merge into your team is a huge challenge with many risks, and it takes a lot of effort from you as a team lead and from your recruiting team.

Beside the business and technical training, I invest a lot in preparing the student in a mental way, which helps them succeed in the role starting from onboarding. My methodology is to use all my knowledge and experience to improve the performance of my students, and give them an advantage over the rest of the job candidates.

In recent years I helped dozens of candidates get a job in the Analytics & HiTech industry.

A course in a startup mode, using AI tools [~99 Hours]

  1. 0. Onboarding [2.5 Hours]פתוח בשבוע הניסיון
  2. 1. Introduction [13.5 Hours]פתוח בשבוע הניסיון
    1. 1.1. Gaming Analytics
    2. 1.2. SQL Introduction
    3. 1.3. Company Review - AI
  3. 2. Product & Business [7.5 Hours]פתוח בשבוע הניסיון
    1. 2.1. Product
    2. 2.2. Product playlist
    3. 2.3. User Experience
    4. 2.4. AI - Product
  4. 3. Analytics & User Experience [8.5 Hours]
    1. 3.1. Analytics - User experience
    2. 3.2. Analytics - Tutorial
    3. 3.3. User Behavior
    4. 3.4. Gaming - define events
    5. 3.5. AI - Analytics definition
  5. 4. Data Growth & KPIs [8 Hours]
    1. 4.1. Data Growth
    2. 4.2. Main KPIs
    3. 4.3. KPIs Calculation
    4. 4.4. AI
  6. 5. Data Warehouse Fundamentals [10.5 Hours]
    1. 5.1. Data warehouse - fundamentals
    2. 5.2. Data warehouse metadata
    3. 5.3. Analysis with AI
  7. 6. Dashboards & BI [9 Hours]
    1. 6.1. BI Tools - Dashboards
    2. 6.2. Looker
    3. 6.3. Tableau
    4. 6.4. Power BI
    5. 6.5. MixPanel
  8. 7. Python - basic [7 Hours]
    1. 7.1. python - PyPLTX
    2. 7.2. python - BigQuery
    3. 7.3. AI - Retry script
  9. 8. ETL - Data manipulation with Python [8.5 Hours]
    1. 8.1. My First ETL
    2. 8.2. linux
    3. 8.3. Google Cloud Engine
    4. 8.4. Google Cloud Storage
    5. 8.5. Google Cloud BigQuery
    6. 8.6. Git
    7. 8.7. dbt
  10. 9. HR & Interview [5 Hours]
    1. 9.1. Interview - who am I?
    2. 9.2. CV & Job Search
    3. 9.3. Create CV
    4. 9.4. Webinar Interview Preparation
    5. 9.5. Generate CV with AI
    6. 9.6. Job Tracker
  11. 10. Marketing & Monetization [9 Hours]
    1. 10.1. Advertising
    2. 10.2. User Acquisition
    3. 10.3. Personal Session
    4. 10.4. Monetization
    5. 10.5. GA4
    6. 10.6. FB Ads Manager
    7. 10.7. Marketing Practice
  12. 11. Projects [10 Hours]
    1. 11.1. Project Setup
    2. 11.2. Schedule Query (ETL)
    3. 11.3. Generate Gaming data
    4. 11.4. Daily Aggregated ETL
    5. 11.5. Monitor the bigquery-public-data
    6. 11.6. Gaming
    7. 11.7. Scan datasets
    8. 11.8. Your project
    9. 11.9. Technical Dashboard
    10. 11.10. Retry Job

Interview simulation

  • Technical session
  • Business questions

Professional course

  • SQLai - learn SQL & AI
  • Interview booster

After course - Bonus

  • WhatsApp group
  • Mentoring
  • Professional meetups
  • Open source channel
  • Webinars
  • Networking
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