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

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

What you will 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.

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.


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  1. 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.
  2. Sentiment Analysis: Uncover the underlying sentiments in text data. Master natural language processing techniques to classify text as positive, negative, or neutral.
  3. Predictive Modeling: Predict the future today! Learn how to train machine learning models, evaluate their performance, and use them for future predictions.
  4. 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.
  5. 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.

English
language

Content

Introduction

Introduction

The First Project: Google App Store Exploratory Data Analysis (EDA)

1. Visual Exploring of Google App Store Data.
2. Data Cleaning and Preprocessing of Google App Store Data.
3. Data Visualization Techniques.
4. Statistical Analysis and Hypothesis Testing.
5. Data Storytelling.
6. Conclusion.

Second Project: Sentiment Analysis.

1. Introduction to Sentiment Analysis & NLP.
2. Text Preprocessing for Sentiment Analysis.
3. Feature Extraction for Sentiment Analysis.

Third Project: Predictive Modeling.

The content of this section will be added soon.

Fourth Project: Time Series Analysis.

The content of this section will be added soon.

Fifth Project: Big Data Analytics.

The content of this section will be added soon.

Bonus

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