CODE: ITDA05
DURATION: 5 Days
CERTIFICATIONS: CPD
The Data Science with Python course covers libraries for data analysis, visualization, web scraping, machine learning, and NLP. It includes live projects, demos, assignments, and case studies for practical experience. The course also covers PROC SQL, PROC MEANS, PROC FREQ, and advanced analytics techniques like decision trees, regression, and clustering.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to;
Perform scientific and technical computing using SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave.
Perform data analysis and manipulation using data structures and tools provided in Pandas package
Gain an in-depth understanding of supervised learning and unsupervised learning models like linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
Use Scikit-Learn package for natural language processing
Use the matplotlib library of Python for data visualization
Extract useful data from websites by performing web scraping using Python
Integrate Python with Hadoop, Spark, and MapReduce
At the end of this course you’ll understand:
This course is ideal for analytics professionals looking to work with Python, software professionals aiming to switch to analytics, IT professionals interested in pursuing analytics careers, graduates seeking to build a career in analytics and data science, experienced professionals wishing to apply data science in their fields, and anyone with a genuine interest in the field of data science.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
