Data Science with Python

Unlock the power of data analysis and machine learning with Python through our comprehensive Data Science program. Designed for both beginners and experienced professionals, our courses cover everything you need to know to excel in this dynamic field.

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What you'll learn in this course:

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Prepare for a career in Data Science

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Soft skills training

Resume review

Interview prep

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Data Science with Python Course Curriculum

Eligibility

Our Data Science with Python program is open to individuals from diverse educational and professional backgrounds who are passionate about leveraging data to drive insights and solutions.

Pre-requisites

A basic understanding of programming fundamentals, including variables, loops, functions, and data structures, will be advantageous. While prior experience with Python is not mandatory, familiarity with programming concepts will facilitate your comprehension of more advanced topics covered in the course.

Course Content

  • Overview of data science and its applications
  • Introduction to the data science lifecycle
  • Understanding structured and unstructured data
  • Overview of data science tools and technologies
  • Data acquisition and extraction techniques
  • Data cleaning and preprocessing
  • Handling missing data and outliers
  • Data transformation and feature engineering
  • Understanding data distributions and summaries
  • Data visualization techniques (scatter plots, histograms, etc.)
  • Correlation analysis and feature selection
  • Identifying patterns and trends in data
  • Introduction to statistical concepts (mean, median, standard deviation, etc.)
  • Parametric and non-parametric hypothesis testing
  • A/B testing and significance testing
  • Regression analysis and correlation testing
  • Introduction to machine learning concepts and algorithms
  • Supervised learning (classification, regression)
  • Unsupervised learning (clustering, dimensionality reduction)
  • Model evaluation and validation techniques
  • Ensemble methods (bagging, boosting)
  • Support Vector Machines (SVM)
  • Neural networks and deep learning
  • Time series analysis and forecasting
  • Introduction to big data concepts and technologies
  • Distributed computing frameworks (Hadoop, Spark)
  • Processing and analyzing large datasets
  • Working with NoSQL databases (MongoDB, Cassandra)
  • Introduction to NLP and its applications
  • Text preprocessing techniques (tokenization, stemming, etc.)
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER) and text summarization
  • Principles of effective data visualization
  • Tools and libraries for data visualization (Matplotlib, Seaborn, etc.)
  • Creating interactive visualizations with Tableau or Plotly
  • Communicating insights and findings effectively
  • Model deployment strategies and best practices
  • Building APIs for machine learning models
  • Containerization with Docker
  • Model monitoring and maintenance

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Frequently asked questions

Yes, upon successful completion of the Data Science course, you will receive a certificate of completion. This certificate will validate your skills and demonstrate your proficiency in data science to potential employers.

Yes, students who enroll in our Data Science course have lifetime access to course materials, including lectures, slides, and additional resources. We believe in providing ongoing support to help our students continue their learning journey and stay updated on the latest industry trends.

The time commitment for the Data Science course may vary depending on factors such as the duration of the course, your prior knowledge and experience, and your learning goals. We recommend dedicating a minimum number of hours per week to attend lectures, complete assignments, and engage with course materials.

Data Science with Python Course Reviews

Pro Skill Master's Data Science course was a game-changer for me. The practical skills and hands-on experience I gained set me up for success in the field. Highly recommend for anyone looking to break into data science.

Eswar

Enrolling in Pro Skill Master's Data Science course was one of the best decisions I made for my career. The comprehensive curriculum and real-world projects gave me the practical skills and experience employers are looking for.

Suresh

Pro Skill Master's Data Science course exceeded my expectations. The hands-on approach and collaborative projects allowed me to apply theoretical concepts in practical scenarios. Thanks to this course

Chaitanya

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