TEAM Software Training Services

Attain Mastery in Data Science with Comprehensive Certification

Extract insights and patterns from big data for informed decision-making.

Learn - Data Science & Data Engineering

70% of the Data Science job openings require less than five years of experience. Our Data Science, Data Engineering with Python, Data Science with R, and Data Analytics with Power BI courses meet the increasing demand for skilled professionals in this field. Learning data science and data analytics can open up many career opportunities in fields such as data analysis, business intelligence, and decision making.

Course objective

Our courses provide students with the knowledge they need to become proficient in their chosen field of Data Science. Our training programmes aim to bridge the gap between industry demands and aspiring professionals' current skill set, assisting them in achieving their career objectives. We provide comprehensive training to prepare students for a rewarding career in data science.

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Key Topics Covered

Data Science & Data Engineering using Python

API libraries
Clustering & classification
Data Distribution & correlation
Decision free
Exploratory Data Analysis
Forecasting
Text mining

Data Analytics using Power BI

Appending data
Merge Queries & M Language
Objects, bookmarks, slicers
Tables, MAPS, charts
Text functions

Data Science

Data Analytics & its Methodologies
Data Mining
Data Visualization
SAS & SPSS
Supervised learning algorithm

Data Science using R

Clustering, Classification
Decision Tree and Forecasting
R Programming
Regression Analysis
Statistics & Probability

Scope & Career Opportunities

This course covers both fundamental and advanced machine learning concepts, such as data preparation, feature engineering, model selection, and optimisation. You will learn to use and implement popular machine learning algorithms such as regression, clustering, and decision trees in Python and R.