Our comprehensive Data Science Certification has been specially designed to assist you in learning the concepts of data science from scratch. To begin with, the certification will assist you in getting started with data analysis using popular programs like R and Python, covering the fundamentals of Python with data types, operators, control flows, and functions.
You will learn how to apply 360-Degree Python and machine learning concepts and principles in the data science domain. You will learn to use Python to analyze data, do statistical analysis, develop meaningful data visualizations, and forecast future trends. This course offers lectures designed specifically for people interested in data analysis, Python, and the R programming language.
Data Science Certification teaches both novice and experienced users how to apply the most well-known and powerful machine learning algorithms. After certification, you will be industry-ready for the role of data scientist, data visualizer, or data analytics engineer.
The certification will help you get familiar with Python fundamentals and advanced Python with data types, operators, functions, scripting, and libraries, and start using Python for data science. You will also be able to systematically master the necessary concepts of mathematics, statistics, probability, and hypothesis testing.
Data Scientist has been ranked the number one job opening on Glassdoor.
The average salary of a data scientist is over $120,000 in the US, according to Indeed!
According to the US Bureau of Labour Statistics, data science skills will fuel a 28% increase in jobs through 2026.
The data analytics sector is expected to add over 11 million jobs by 2026, with investments in AI and ML increasing in 2022.
Work on exciting, guided projects that will be part of your portfolio:
Covid-19 Project – Create an interactive dashboard using the covid-19 dataset
Marketing Campaign Project – Create a dashboard and provide insights with the help of data from a marketing campaign
Customer Incident Report Project – Create a dashboard in order to help management access customer incident reports
One course for Data Science and Machine Learning covers everything from Advanced Statistics for Data Science to Mathematics for Machine Learning.
Learn Tableau Data Visualization: Step By Step Guide to problem-solving and programming with Python skills that you'll need to succeed in the fascinating field of data science.
Learn about statistical and machine learning techniques by working with real-world datasets.
Learn Data Visualization with Tableau.
Learn essential data structures and algorithms with Python stacks, queues, trees, and linked lists.
Learn how to use R for effective data analysis and visualization and write programs.
Learn to transform data into a program with data structures and algorithms using Python.
You will learn how to execute data visualization and data analytics using R programming.
Identify and use the best machine learning models for data science using MATLAB and data processing.
Analyze data with Python easily with a robust Pandas library. You will learn how to perform visualization of data, charts, and filters.
Learn practical data science with statistical techniques and exploratory data analysis.
Understand Machine Learning and Data Science for programming using Python with Scikit-learn, SciPy, Matplotlib & Pandas.
Apply basic algorithmic techniques like greedy algorithms, binary search, sorting, and dynamic programming to solve programming challenges.
Apply various data structures such as stack, queue, hash table, priority queue, binary search tree, graph, and string to solve programming challenges.
Apply graph and string algorithms to solve real-world challenges: finding the shortest paths
Solve complex programming challenges using advanced techniques
Basic knowledge of Statistics and Mathematics
Basic Programming Knowledge
A background in computer science or development would be beneficial
