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Machine Learning Fundamentals with Python

Transform Raw Data into Powerful Insights with Python and Machine Learning.

  • Schedule

    16 – 18 December 2024
    09.00 – 16.00 WIB

  • Jl. H. R. Rasuna Said No.Kav.20, Karet Kuningan, Kecamatan Setiabudi, Jakarta Selatan 12940

  • Investment

    Rp. 5.550.000

12

Hours Course

WORKSHOP STARTS IN

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Overview

This course provides a comprehensive introduction to data science, Python for exploratory data analysis, and machine learning. It begins with an overview of data science, covering industry applications, workflows, and key tools for data analysis. Participants will then delve into Python for data handling, focusing on working with dataframes, using Pandas for data preparation, and performing exploratory data analysis. Finally, the course introduces machine learning, guiding learners through building forecasting models using Python’s Prophet library, with a focus on practical business applications.

Course Syllabus

  • Understand the fundamental concepts and terminology of Data Science.
  • Learn how Data Science drives decision-making in various industries.
  • Explore the step-by-step workflow of a Data Science project.
  • Discover various tools used in Data Science and their applications.
  • Review example outputs to understand common deliverables in Data Science.
  • Learn the basics of reporting and effective data visualization.
  • Get an introduction to Machine Learning and its role in Data Science.
  • Learn how to read data from .csv files into Python.
  • Understand the different Python data types and how they work with dataframes.
  • Explore the structure of dataframes and how they organize data.
  • Understand the data types used in Pandas and their importance in analysis.
  • Work with datetime objects to handle time-based data.
  • Learn how to slice dataframes to focus on specific subsets of data.
  • Apply conditional subsetting to filter data based on criteria.
  • Generate descriptive statistics to summarize your data.
  • Use the groupby() function for data aggregation and deeper insights.
  • Understand the basic workflow of a Machine Learning project.
  • Learn about different Machine Learning algorithms and their use cases.
  • Define business questions that can be solved using predictive analytics.
  • Get introduced to forecasting and how it applies to business scenarios.
  • Understand how to identify predictor and target variables in datasets.
  • Build a Machine Learning model using real-world business data.
  • Learn how to forecast future trends using the Prophet model.
  • Evaluate the model’s performance and interpret the results to make informed decisions.

Course Receivables

  • Lecturer’s Notes

    Including Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout each course.

  • Certification of Completion

    Show current employer hat you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, and small group size.

  • Refreshments & Coffee Break

    In our commitment to delivering a premium experience, we collaborate with leading catering services in Jakarta. Our aim is to ensure that all participants are served delectable lunches and revitalizing coffee breaks.

ABOUT THIS SERIES

Courses in this series cater to a diverse audience: from casual learners and working professionals to those venturing into data science and machine learning without a programming background.

We recognize that many students may not have prior expertise in statistics, mathematics, or algebra. Therefore, our courses are designed with a gentle learning curve, placing a strong emphasis on hands-on experience and individualized instruction. Our dedicated team of instructors and teaching assistants ensure personalized guidance every step of the way.

Teaching Methodology

Students work through tons of real-life examples using sample datasets donated by our mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

YOUR INSTRUCTOR

Dyah Nurlita
Sr. Data Science Instructor at Algoritma Data Science School

Dyah Nurlita is an experienced Sr. Data Science Instructor at Algoritma Data Science School, specializing in providing comprehensive training in data science to corporate clients. With a track record of successfully conducting training sessions for esteemed organizations such as Jasa Raharja, Pertamina Hulu Mahakam, Perusahaan Listrik Negara (PLN), and PT. Bank Central Asia (BCA), Lita has honed her expertise in various essential areas of data science. She excels in utilizing Python for Data Analysis, conducting Explanatory Data Analysis, performing Data Wrangling and Visualization, leveraging SQL for Data Manipulation, and applying Programming for Data Science.