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Applied Data Science for Electrical Engineers – Live Class Program

Instructor: Ryan
2.7

This live course equips electrical engineering professionals with the essential data science skills needed to analyze signals, sensor data, fault diagnostics, and electrical system performance. It bridges the gap between traditional electrical engineering and modern AI-powered analytics. Participants will learn to work with real-world data from power grid...

This live course equips electrical engineering professionals with the essential data science skills needed to analyze signals, sensor data, fault diagnostics, and electrical system performance. It bridges the gap between traditional electrical engineering and modern AI-powered analytics.

Participants will learn to work with real-world data from power grids, PLCs, IoT sensors, and equipment logs using Python, SQL, and machine learning tools. Live sessions will be instructor-led with interactive Q&A, hands-on exercises, and guided projects relevant to the energy, automation, and industrial sectors.

Key Tools & Topics:

  1. Python for Engineers
  2. Time Series Analysis (Voltage, Current, Frequency)
  3. SQL for SCADA & Sensor Logs
  4. Machine Learning for Fault Detection
  5. Dashboarding with Power BI/Tableau
  6. Predictive Analytics for Load Forecasting

150 USD

Accreditation
Accreditation

CPD

Duration
Duration

3 days

Students
Students

79

master

Experience required

Master the power of data in electrical systems. This course provides real-time training for engineers seeking to enhance their data skills in power systems, automation, IoT, and smart infrastructure.

"Being an electrical engineer, I never thought I could use AI tools this effectively. This course made it clear and practical." — Engr. Bilal Saeed

"The instructor explained everything in engineering language with great examples from our field." — Iqra Mehmood

I am a dedicated and passionate Data Science instructor with a strong foundation in mathematics, statistics, and computer science. With several years of experience in both academic and practical fields, I specialize in transforming complex data into actionable insights. My teaching approach combines real-world case studies, project-based learning, and the latest tools in data analytics to ensure that students not only grasp theoretical concepts but are also industry-ready. Over the years, I have trained students from diverse academic and professional backgrounds, helping them transition into roles such as data analysts, machine learning engineers, and AI practitioners. I emphasize hands-on experience in tools and languages such as Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Power BI, and Tableau. I also cover essential concepts like data wrangling, data visualization, statistical modeling, machine learning algorithms, and deployment of models.
Earn a Live Class Certificate in Data Science for Electrical Engineering, digitally verified and shareable online.

Sessions

3 Sessions Available

Session 1
01 May

Starts

01 May

Ends

1

Total Sessions

1:00 - 3:00 AM

Session time

Session 2
01 May

Starts

01 May

Ends

1

Total Sessions

1:00 - 6:00 AM

Session time

Session 3
01 May

Starts

01 May

Ends

1

Total Sessions

1:00 - 7:00 PM

Session time

About Instructor

Ryan James
I am a dedicated and passionate Data Science instructor with a strong foundation in mathematics, statistics, and computer science. With several years of experience in both academic and practical field...
I am a dedicated and passionate Data Science instructor with a strong foundation in mathematics, statistics, and computer science. With several years of experience in both academic and practical fields, I specialize in transforming complex data into actionable insights. My teaching approach combines real-world case studies, project-based learning, and the latest tools in data analytics to ensure that students not only grasp theoretical concepts but are also industry-ready. Over the years, I have trained students from diverse academic and professional backgrounds, helping them transition into roles such as data analysts, machine learning engineers, and AI practitioners. I emphasize hands-on experience in tools and languages such as Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Power BI, and Tableau. I also cover essential concepts like data wrangling, data visualization, statistical modeling, machine learning algorithms, and deployment of models.
189 Learners | 3 Courses

Learner Reviews (15)

Certification

Earn a Live Class Certificate in Data Science for Electrical Engineering, digitally verified and shareable online.

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