Data Science Training Course

Get ready for a successful career as a Data Science Training Course. This course covers everything from basic to advanced features, making it ideal for both beginners and advanced users.

Data Science Training Course

Educationnest, offers a comprehensive Data Science Training Course. This course provides live project-based training, allowing participants to gain hands-on experience in applying data science concepts using Python and SQL. Led by industry experts with over 10 years of experience, this course covers essential topics such as data manipulation, visualization, statistical analysis, machine learning, and database querying. Join Educationnest to acquire in-demand skills in Data Science, learning from seasoned professionals in the fields.

23,596+

Students

4+ Hours

Of Content

Live Q&A

Group Sessions

100%

Refund Policy

About Data Science Training Course

Introducing “Data Science Training Course” by Educationnest, a comprehensive course that covers Python fundamentals and all stages of data science. From data preprocessing to machine learning modeling, learners gain a deep understanding through detailed examples and explanations. This interactive course equips beginners and professionals with essential skills in Python, Numpy, pandas, data visualization, machine learning, MySQL, and more. Mastering Python for data science roles has never been easier with this hands-on course, ideal for launching or progressing in your data science career.

Premium Experience

Pre-recorded content

16+ hours of video lectures and recorded Q&A sessions at your convenience.

Course community channel

Be a part of an exclusive community and learn with your fellow learners.

Notes and frameworks

Summary notes and frameworks available for quick reference and recap.

Lifetime access

Access the course at any time and unlock free access to all future course upgrades.

14-day Refund Policy

Full refund within 14 days if you don't like the course, no questions asked.

Course certificate

Earn a certificate of completion to showcase your commitment.

Course Curriculum

Upon completing this course, students will have gained a deep understanding of the subject matter, equipped with practical skills and knowledge relevant to their field. They will be able to apply what they’ve learned to real-world scenarios, demonstrating their expertise through hands-on projects and exercises. Additionally, students will receive a certificate that validates their proficiency and can enhance their career prospects. Our comprehensive training ensures that graduates are well-prepared to tackle industry challenges and advance in their professional journey.

  1. - Introduction to Data Sciences
  2. - Importance of DS in modern business environment
  3. - Introduction to python and its basicss

  1. - Part-1: Introduction to Data Science Tools (R, SQL)
  2. - Part-2: Introduction to Data Science Tools (R, SQL)
  3. - Machine Learning

  1. - Python Programming Concepts
  2. - Introduction to Jupyter Notebooks and Anaconda
  3. - Basic data manipulation with pandas

  1. - Importing data from various sources
  2. - Data cleaning techniques using pandas
  3. - Handling missing data and duplicates

  1. - Introduction to matplotlib and seaborn
  2. - Creating basic plots and charts
  3. - Customizing and enhancing visualizations

  1. - Importing data, cleaning data transformation
  2. - Pivot tables and charts
  3. - Publishing and Sharing Reports in Excel

  1. - Overview of Power BI
  2. - Power BI- Hands-on
  3. - Power BI Data Modeling + DAX-Hands-on

  1. - Performing EDA using pandas and seaborn
  2. - EDA Advanced Topics
  3. - Exploratory Data Analysis (EDA) with Python

  1. - Data modeling concepts (tables, relationships, measures)
  2. - Data transfromation techniques using pandas and numpy
  3. - Execution data modeling and transformation

  1. - Creating advanced visuals (maps, scatter plots, custom visuals)
  2. - Enhancing visualizations with formatting options and interactions
  3. - Hands-on exercises on advanced visualizations

  1. - Overview of machine learining concepts and workflow
  2. - Introduction to scikit-learn
  3. - Implementing simple machine learning models

  1. - Model evaluation techniques (accuracy, precision, recall, F1 score)
  2. - Cross-validation and hyperparameter tuning
  3. - Hands-on exercises on model evaluation

  1. - Introduction to time series data
  2. - Time Series Analysis Models and Techniques
  3. - Hands-on exercises on time series forecasting

  1. - Design principles for effective dashboards
  2. - Creating interactive reports with drill-through and drill-down features
  3. - Hands-on exercises on building dynamic dashboards

  1. - Connecting Power BI to externnal data sources
  2. - Utilizing data connectors and query folding
  3. - Hands-on exercises on importing data

  1. - Overview of real-time data streaming options
  2. - Setting up streaming datasets and dashboards
  3. - Hands-on exercises on visualizing real-time data

  1. - Introduction to Azure Data Lake Storage
  2. - Interagration options for Power BI and Azure
  3. - Hands-on exercises on analyzing big data

  1. - Defining project scope and objectives
  2. - Data collection and preprocessing for the project
  3. - Initial project setup and planning

  1. - EDA and data modeling for the project
  2. - Implementing machine learning models
  3. - Visualizing initial findings

  1. - Advanced analysis and model tuning
  2. - Creating interactive dashboards
  3. - Finalizing project report and presentation

Data Science Training Course FAQs

Explore our Frequently Asked Questions to find quick answers and helpful information about our Training Course.

Your credentials to access the course will be delivered to your inbox within 5-10 minutes of your purchase. Please check your promotions/updates tab and spam folder as well.

The course is self-paced and will require approximately 16 hours.

The course is available in both English and Hindi. You can choose to buy the English version or the Hindi dubbed version of the course.

Yes. You will join a community of like-minded enthusiasts wherein you can share your doubts and connect with more people.

No. It is a pre-recorded course that you can use for life after purchase.