Level: Beginner
Duration: 6 months (10 hours/week)
Fee: Free to audit only upgrade for certificate, or you can apply for financial aid to get everything for free.
Prerequisite: No prior experience required, Beginner friendly.
Topics: Data Science, Data Analysis, Machine Learning, Python Programming, Pandas, Numpy, RDBMS, SQL, Predictive Modelling, Data Visualization, Dashboards and Charts, Dash, Matplotlib, SciPy and scikit-learn, Regression, Classification, Hierarchical Clustering, K-Means Clustering
Description: This Professional certificate contains a collection of 10 courses that teach essential concepts like Data Science, Data Visualization, Python Programming, Data Mining, Machine Learning Algorithms, etc. from scratch. It is a complete package for those who want to explore the field of data science in Python as it is a widely used language not only in Data Science but also in software development.
Level: Beginner
Duration: 6 Months (10 hours/week)
Fee: Free to audit only upgrade for certificate, or you can apply for financial aid to get everything for free.
Prerequisite: No prior experience required, Beginner friendly.
Topics: Spreadsheet, Clean-Analyze-Visualize Data, SQL, Decision-Making, Problem Solving, Metadata, Data Ethics, Sample Size Determination, Data Integrity, Data Calculations, Data Aggregation, Tableau Software, R Programming, Job portfolio, Case study
Description: This Professional certificate contains a collection of 8 courses that teach essential concepts like Foundation of Data, Data Preparation, Data Exploration, Data Cleaning, Data Analysis with R programming, Data Visualization, etc. from scratch. After you complete the certificate, you’ll also get access to some career tools, like expert training and hands-on projects. You’ll get a resume-building tool, mock interviews, and career networking support.
Level: Beginner
Duration: 1 year 5 months (3-6 hours/week)
Fee: All 9 Courses are free to access, only purchase for certificates.
Prerequisite: No prior experience required, Beginner friendly.
Topics: Fundamental R programming skills, Statistical concepts, Tidyverse (ggplot2, dplyr), Essential tools (Unix/Linux, git and GitHub, RStudio), Machine learning algorithms, Real-world case studies
Description: The Harvard Professional Certificate in Data Science is a collection of 9 online courses including Data Science: R Basics, Data Science: Visualization, and Data Science: Probability. The program gives learners the necessary skills and knowledge to tackle real-world challenges as demand for skilled data science practitioners rapidly grows. The program focuses on the use of R language instead of Python. So, if you are one of those who want to explore data science with R then this is the course.
Level: Intermediate Level
Duration: 5 months ( 7 hours per week)
Fee: All 5 Courses are free to audit only upgrade for certificate, or you can apply for financial aid to get everything for free.
Prerequisite: Those who have Intermediate level knowledge in Data Science can Enroll in this program.
Topics: Text Mining, Python Programming, Data Cleansing, Data Virtualization, Data Visualization (DataViz) , Machine Learning (ML) Algorithms, Natural Language Toolkit (NLTK)
Description: This specialization program teaches data science through the python programming language. You will get a strong introduction to data science Python libraries, like matplotlib, pandas, nltk, scikit-learn, and networkx.
This course series doesn’t include Statistics needed for Data Science and various Machine Learning algorithms. It focuses on how to use these algorithms in Python. If you want to learn Statistics first, then consider the Statistics with Python Specialization. In Statistics with Python Specialization, you will learn very important Statistical skills that are required for data science.
Level: Intermediate level
Duration: 2 months ( 12 hours per week)
Fee: All 5 Courses are free to audit only upgrade for certificate, or you can apply for financial aid to get everything for free.
Prerequisite: Those who have Intermediate level knowledge in Data Science can Enroll in this program.
Topics :
Description: This Specialization program offered by Google Cloud gives a hands-on introduction to designing and building data pipelines on the Google Cloud Platform. It is combined with presentations, demos, and hands-on labs.
We at Alphaa AI are on a mission to tell #1billion #datastories with their unique perspective. We are the community that is creating Citizen Data Scientists, who bring in data first approach to their work, core specialisation, and the organisation.With Saurabh Moody and Preksha Kaparwan you can start your journey as a citizen data scientist.
