Service Description

This is one of the best Data Science certification for candidates who do not have a programming background but want to acquire job oriented practical skills on a prominent open-source Data Science platform. After completing this course, you will be able to apply robust data science solutions for any organization's data management needs that are key to business decision making. The course curriculum starts by introducing you with Building Blocks of Data Science covering data science foundations, concepts, and basic programming elements. The next stage covers Data Visualization and Analytics (Excel, SQL & Power BI) elaborating on data extraction, manipulation, analysis, reporting, and building intuitive business dashboards. With interactive options, using business case studies R for Data science comes next to help you learn using R with databases, data import/export, analysis, and visualization. Next, you will learn Python for Data science in two stages. The first one covers core Python, NumPy, and Pandas for data analysis. In the second stage, the course covers advanced data visualization using in-demand Python libraries. After this, you move to learn the highly valuable skills of Predictive Modeling and Machine learning including supervised and unsupervised learning. What you'll learn:- . Data Manipulation . Data Visualization . Analysis Techniques . Essential Math and Stats for Data Science Tools:- . Excel (Advanced Fucntions, Pivots, Visualization, Dashboard etc.) . SQL (DDL, DML, DQL, DCL, TCL) . Power BI (Visualization, Reports, Dashboards, Data Modeling, ETL, DAX Language) . Python (Pandas, Numpy, Matplotlib, SkitLearn, ScyPy, Seaborn, Statsmodel and other Libraries) . R Language Course Highlights:- . Work on Real World Projects . Learn from Industry Experts . Get Placment Assistance