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Data Science & Data Analytics


Data Science

4.8(2056)

There is a big demand for Data Scientist in the market making it one of top trending courses. Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data.

    Duration: 120 Hours

    Effort: 8-10 hrs/week

    Training: Classroom/Online


Data Analytics with Python

4.9(2576)

Data Analytics and Python are two of the most common technical terms which we hear all everywhere. Combination of these two will give an advantage for the aspirants to become a Data Analyst. As showcased year after year, the usage and importance of Python is growing daily, especially with the data analytics and the data science community. In this course, you will be learning Python Fundamentals, Basic Statistics, Python Libraries like Pandas, Numpy, Scipyetc.

    Duration: 60 Hours

    Effort: 8-10 hrs/Week

    Training: Classroom/Online


Data Analytics for Non-Programmers

4.8(2056)

This course a specially designed for students and professionals from non-technical background who would want to make a career in the Data Analytics domain. In this course we will prepare you to understand data, draw insights and make data driven decision, all of it without having to learn coding.In this course, you will be learning Excel Dashboards, Macros & VBA and Tableau.

    Duration: 60 Hours

    Effort: 8-10 hrs/week

    Training: Classroom/Online