Introduction to Data Science
Introduction to Data Science Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Data Science by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Introduction to Data Science Training is suitable for the following target audiences:
Beginners in Data Science: Perfect for people who wish to learn more about data science and its applications but need more prior experience.
IT Professionals: Ideal for system analysts, software engineers, and IT specialists wishing to advance their data abilities or move into data-centric professions.
Students and Academics: Designed for researchers and university students who want to use data science in their studies and projects.
Business Analysts and Decision Makers: Beneficial for managers and business analysts who wish to use data science methods and tools to make better decisions.
Career Changers: Designed for non-technical individuals who wish to switch to the rapidly expanding field of data science.
Data Analyst: Data analysts interpret data, produce reports, and create visuals to help guide business choices.
Junior Data Scientist: Helping with sophisticated statistical analysis and predictive model construction.
Business Intelligence Analyst: A business intelligence analyst’s responsibility is to create dashboards and data-driven plans to enhance corporate results.
Machine Learning Engineer (Entry-Level): The role of an entry-level machine learning engineer is to support the application of machine learning models and algorithms.
Data Engineer: Helping to create and manage databases and data pipelines.
Data scientists are in high demand in the US and Canada’s healthcare, banking, retail, technology, education, and government sectors. The field provides competitive pay and significant growth possibilities.
- What is Data Science?
- Data Science process and lifecycle
- Applications in various industries
- Overview of tools: Python, Jupyter Notebook, Excel
- Python fundamentals (variables, data types, loops, functions)
- Working with Jupyter Notebook
- Importing and using libraries (NumPy, Pandas)
- Writing simple scripts for data analysis
- DataFrames and Series
- Reading and writing data (CSV, Excel, etc.)
- Filtering, sorting, and grouping data
- Handling missing data
- Importance of visualization in data science
- Plotting with Matplotlib and Seaborn
- Creating bar charts, line plots, histograms, and heatmaps
- Customizing graphs for better readability
- Mean, median, mode, variance, and standard deviation
- Probability distributions (normal, binomial, etc.)
- Correlation and covariance
- Introduction to hypothesis testing
- Understanding the dataset
- Identifying patterns and outliers
- Feature engineering basics
- Using EDA techniques to prepare data for modeling
- What is machine learning?
- Supervised vs. Unsupervised learning
- Basic algorithms: Linear Regression, K-Nearest Neighbors
- Model evaluation: Accuracy, Confusion Matrix
- Choose a small dataset and perform end-to-end analysis
- Apply learned concepts: cleaning, visualization, modeling
Note: Curriculum can be modified as per latest Industry standards.
The course teaches the basics of data science, such as how to analyze data, use statistics, write Python code and use basic machine learning methods.
Anyone who wants to learn about data science! Great for students, recent grads, those who work in fields other than IT and people who are new to tech.
No, the course is easy for beginners. Basic computer skills are enough to get started.
You will learn how to use Python, Jupyter Notebook, Pandas, NumPy, Matplotlib, and Seaborn.
Yes, you will build simple Python programs to clean up, look at, and show data. All code will be easy to follow and for beginners.
Yes, in the last week you will do a capstone project that uses real-world data to show what you’ve learned.
There are weekly sessions for 8 weeks, which include online lectures, hands-on activities and tests.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
Yes, everyone who finishes the course and project gets a certificate of completion.
This course gets you ready for entry-level jobs in data science, internships, and more study in data analytics, machine learning, or AI.
We currently offer online sessions with flexible weekday/weekend batches. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
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Job opportunities in USA and Canada
Data Analyst: Data analysts interpret data, produce reports, and create visuals to help guide business choices.
Junior Data Scientist: Helping with sophisticated statistical analysis and predictive model construction.
Business Intelligence Analyst: A business intelligence analyst’s responsibility is to create dashboards and data-driven plans to enhance corporate results.
Machine Learning Engineer (Entry-Level): The role of an entry-level machine learning engineer is to support the application of machine learning models and algorithms.
Data Engineer: Helping to create and manage databases and data pipelines.
Data scientists are in high demand in the US and Canada’s healthcare, banking, retail, technology, education, and government sectors. The field provides competitive pay and significant growth possibilities.
