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The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, Machine Learning, and Python. Delivered in a self-paced format, the program includes study books, HD video lectures, workshops, practice codes, and a digital badge. Learners gain practical experience with real-world datasets and tools, building a robust portfolio for data-driven careers.
Expertise in Data Science, Python, and Machine Learning methods comes out as a requirement, while at the same time one gets to learn all the advanced Big Data, Hadoop, relational databases, and data visualization.
Statistical analysis, regression, and exploratory data analysis (EDA) will not be just theoretical concepts, but learners will acquire practical experience in them.
Learners shall implement concepts of AI and ML, such as neural networks, and deep learning, etc.
Through creating a project portfolio, learners will not only get a certificate that is globally recognized along with digital badging but also get a project portfolio.
The 4–25 week self-paced program requires 8–10 hours per week and costs US $687 (all-inclusive) with flexible payment options. Suitable for undergraduates, recent graduates, and professionals with 0–2 years of experience. Learners receive study kits worth up to US $625 and earn a globally recognized CDSP™ certificate with 3-year validity, renewable thereafter.
Data Science and Its Importance: Data Science workflow, project lifecycle, potential applications, key terminologies.
Mathematics and Statistics for Data Science: Visualization, inferential statistics, regression, K-Nearest Neighbor classification.
Big Data and Hadoop: Data engineering, HDFS, Hadoop YARN, Hadoop 3 deep dive.
Database and Data Science: RDBMS, MongoDB fundamentals, database design, data import/export.
Performing Data Analysis: Environment setup, NumPy, Pandas, EDA, data transformation, hypothesis testing.
Data Visualization & Its Libraries: Matplotlib, Seaborn, Kibana, business analytics visualizations.
Tableau and Power BI for Data Science: Data connection, visualization, transformation, DAX implementation, storytelling with data.
Data and Machine Learning: Machine Learning applications, neural networks, ANNs, deep learning concepts.
Bachelor’s degree (completed or pursuing) in any discipline, preferably STEM. Basic programming knowledge in Python/R/Java is desirable.
OR
Associate degree or diploma with at least 2 years of programming experience; proficiency in Python/R/Java desirable.
OR
Suitable for beginners and early-career professionals with a passion for Data Science.
The United States Data Science Institute (USDSI) offers learners a real-world project experience which is very important when it comes to building an industry-ready portfolio, earning a globally shareable digital dgBadge, and enjoying a curriculum made and approved by the USDSI® Data Science Advisory Board consisting of industry leaders and experts.
The United States Data Science Institute (USDSI) CDSP program presents an adaptable, self-directed pathway to professional data science capacity and basic skills mastery. The program is supported by a solid and recognized curriculum, practical projects, and learning materials, which altogether create an attractive choice for anybody who wants to take the chance to technologically update their skills and receive the digital credential that is globally acknowledged and thus, to get the entrance or create a data science lucrative career.
