Master Data Science: 5-in-1 Projects Data Interview ShowOff.

Name: Master Data Science: 5-in-1 Projects Data Interview ShowOff.
Rating: 4.5 (38 reviews)

Unleash the Power of Data: EDA, Sentiment Analysis, Predictive Modeling, Time Series Analysis & Big Data Analytics

Role Play

Created byTemotec Learning Academy

Last updated 5/2026

English

What you'll learn

Understand the basics of data science, including statistics, probability, and data visualization techniques.
Learn how to clean and prepare your data for analysis.
Get hands-on experience with different data analysis techniques and learn how to interpret the results.
Dive into machine learning algorithms, understand how they work, and learn how to apply them in real-world situations.
Apply what you’ve learned in real-world projects, showcasing your skills to potential employers.

Course content

7 sections • 28 lectures • 3h 1m total length

Introduction2:00

1. Introduction to Sentiment Analysis & NLP.6:13
2. Text Preprocessing for Sentiment Analysis.16:00
3. Feature Extraction for Sentiment Analysis.13:17
4. Building Sentiment Analysis Models.4:49
5. Evaluation of Sentiment Analysis Models.6:10
Evaluate sentiment analysis models using accuracy, precision, recall, F1 score, and confusion matrices. Apply bag-of-words features with a support vector machine, and deploy via web apps, APIs, or cloud.
Financial News Sentiment Model: Performance Review.

1. Introduction to Predictive Modeling and Machine Learning.4:25
Learn predictive modeling with Python and scikit-learn by building a logistic regression model to predict Titanic survival, including data cleaning, encoding, scaling, train-test split, and grid search tuning.
2. Data Exploration and Preprocessing of the Titanic Dataset.4:55
3. Model Selection and Evaluation of The Titanic Dataset.4:17
4. Model Training and Hyperparameter Tuning of The Titanic Dataset.7:33
5. Deployment of The Predictive Models of The Titanic Dataset.10:22
Assignment For The Titanic Predictive Modeling Project.

1. Introduction to Big Data Analytics and Apache Spark.4:00
2. Big Data Data Exploration and Preprocessing.4:00
Explore big data analytics with Apache Spark through data exploration and preprocessing of the New York City taxi trip duration dataset, counting records and cleaning data for analysis.
3. Big Data Transformation and Feature Engineering.3:48
4. Big Data Visualization and Analysis.3:54
5. Conclusion and Next Steps.5:02

Requirements

A computer and internet.
No programming experience needed.
You will learn everything you need to know.

Description

Embark on a transformative journey in data science with our comprehensive 5-in-1 project course. This course is meticulously designed to arm you with the skills needed to turn raw data into powerful insights and predictions.

Exploratory Data Analysis: Dive deep into the world of data exploration and visualization. Learn how to clean, preprocess, and draw meaningful insights from your datasets.
Sentiment Analysis: Uncover the underlying sentiments in text data. Master natural language processing techniques to classify text as positive, negative, or neutral.
Predictive Modeling: Predict the future today! Learn how to train machine learning models, evaluate their performance, and use them for future predictions.
Time Series Analysis: Step into the realm of time series data analysis. Learn how to preprocess and visualize time series data and build robust forecasting models.
Big Data Analytics: Scale up your data science skills with big data analytics. Learn how to process large datasets using Apache Spark in a distributed computing environment.

Enroll now and start your journey towards becoming a proficient data scientist! Unlock the power of data and transform your career. This course is perfect for beginners and professionals alike, providing hands-on projects that will reinforce your learning and give you real-world experience.

Who this course is for:

Beginners: Those who are new to data science and want to understand the basics and build a strong foundation.
Intermediate Learners: Individuals who have some knowledge of data science but want to deepen their understanding and learn more advanced techniques.
Career Changers: Professionals from other fields who are interested in transitioning into a data science career.
Data Enthusiasts: Anyone with a keen interest in data and how it can be used to make informed decisions.
Job Seekers: Those who want to showcase their data science skills in job interviews.

Master Data Science: 5-in-1 Projects Data Interview ShowOff.

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 2min

The First Project: Google App Store Exploratory Data Analysis (EDA)7 lectures • 54min

Second Project: Sentiment Analysis of Financial Data.6 lectures • 46min

Third Project: Predictive Modeling of Titanic Dataset.5 lectures • 32min

Fourth Project: Time Series Analysis.5 lectures • 24min

Fifth Project: Big Data Analytics.5 lectures • 21min

Bonus1 lecture • 3min

Requirements

Description

Who this course is for: