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Get a structured learning path tailored for freshers with no prior experience.
Gain hands-on experience by working on real-world projects and case studies.
Develop problem-solving skills to analyze and interpret data effectively.
Exploratory Data Analysis (EDA): Identifying patterns and insights in datasets.
Learn the most in-demand skills in data science and analytics.
Enhance your resume with practical knowledge and industry-relevant tools.
Data Collection and Preprocessing: Cleaning and preparing raw data for analysis.
Basic Machine Learning: Understanding algorithms like linear regression and clustering.
Kickstart your career in Data Science with this beginner-friendly course. Designed specifically for freshers, this course covers the fundamentals of data science, equipping you with essential skills in data analysis, machine learning, and visualization to solve real-world problems. About: 1. Learn the basics of data science, including statistics, data cleaning, and data visualisation. 2. Master essential tools and technologies like Python, Pandas, NumPy, and SQL. 3. Understand machine learning concepts such as supervised and unsupervised learning. 4. Explore data visualization techniques using Matplotlib, Seaborn, and Power BI. 5. Work on real-world datasets to develop hands-on expertise in data analysis. 6. Gain insights into data science applications in different industries like healthcare, finance, and e-commerce
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QSpiders is the world’s ace software training organization with an aim to bridge the gap between the demands of the industry and the curriculum of educational institutions. With centers across the Globe, the institute is a platform where young minds are given the opportunity to build successful careers. ”QSpiders is a place where businesses find talent and dreams take flight."