At Algoforge Studios, we are passionate about transforming raw data into powerful insights. Our Data Engineering Training is designed for beginners and aspiring professionals who want to master data pipelines, data cleaning, visualization, and statistical analysis using Python. With a strong focus on Python for Data Science and Machine Learning, learners will gain hands-on experience in Python Data Science and Machine Learning techniques, making them job-ready for real-world projects.

The course emphasizes Statistical Analysis with Python, helping learners understand probability, regression, and hypothesis testing. Whether you are aiming for a career in Data Science, Python Machine Learning, Business Analytics, or Data Engineering, this program ensures you acquire practical data-driven problem-solving skills with tools like SQL, Tableau, and Power BI.

Course Content / Syllabus

Module 1: Introduction to Data Engineering & Analytics

• What is Data Engineering & its role in Data Science and Machine Learning

• Data lifecycle & importance of data cleaning

• Overview of industry tools (Python for Data Science and Machine Learning, SQL, Tableau, Power BI)

Module 2: Python for Data Engineering

• Python basics for data handling

• Working with Numpy & Pandas for Python Data Science and Machine Learning

• Data wrangling techniques for machine learning pipelines

Module 3: Data Cleaning & Preprocessing

• Handling missing values & duplicates

• Data transformation & normalization

• Outlier detection methods for Python Data Science projects

Module 4: Exploratory Data Analysis (EDA)

• Descriptive statistics & summary reports

• Correlation & relationships between variables using Statistical Analysis with Python

• Case studies with real-world datasets for Python Machine Learning

Module 5: Statistical Analysis

• Probability & distributions in Python

• Hypothesis testing and statistical analysis using Python

• Regression & predictive analysis basics with Python for Machine Learning

Module 6: Data Visualization & Reporting

• Building dashboards with Tableau & Power BI

• Visualizing trends & patterns with Python Data Science (Matplotlib, Seaborn)

• Best practices for storytelling with data

Module 7: Capstone Project & Case Studies

• End-to-end Data Engineering and Machine Learning project

• Business problem solving using Python Data Science techniques

• Project presentation & portfolio building for career growth