Sales Analysis
Utilize Python to analyze a clothing company’s sales data for the fourth quarter across states to help the company make data-driven decisions for the coming year.
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Receive professional-level training from Microsoft, Demonstrate your technical proficiency, Earn an employer-recognized Azure certificate from Microsoft
Live sessions on the latest AI trends, Generative AI tools, prompt engineering, and more
Our data science course offers live online classes by industry experts, focusing on applied learning. Capstone projects ensure students gain practical skills and are job-ready.
Get 100% placement assistance through our in-house recruitment agency. With over 250+ hiring partners, we have an impressive successful placement rate of 80%.
Next cohort starts on Saturday
Are you looking to embark on an exciting career in Data Science and Artificial Intelligence (AI)? Look no further! Our company is dedicated to providing top-notch training in these cutting edge fields, and we offer a comprehensive 6-month course designed to transform you into a skilled data scientist or AI expert. With our experienced trainers and a commitment to high-quality content delivery, we’re your ultimate partner in achieving your career goals. Plus, our course includes the added advantage of Microsoft Azure certification, powered by Microsoft, ensuring you gain industry-recognized credentials that will set you apart in the job market.
Get certified in data science & AI with Microsoft Azure program and receive both Data Science +AI and Microsoft Azure certificates to enhance your career prospects. Gain exclusive access to expert-led masterclasses and our in-house career support program.
Boost your career with our leading data science and AI program. Master essential skills and demonstrate your expertise through our carefully designed learning path.
Learn the fundamentals of Python, a versatile and powerful programming language. This module covers essential concepts like syntax, data types, control structures, and functions, laying the foundation for data science and software development.
Dive into essential Python libraries like NumPy, Pandas, and Matplotlib. Learn to perform Exploratory Data Analysis (EDA) to uncover insights, visualize trends, and prepare datasets for advanced analytics and modeling.
Master statistical concepts like probability, hypothesis testing, and regression analysis. Learn to interpret data trends, make data-driven decisions, and build a strong foundation for machine learning models.
Learn the fundamentals of supervised learning, where models are trained on labeled data to predict outcomes. Explore key algorithms like linear regression, decision trees, and support vector machines for real-world problem-solving.
Dive into unsupervised learning, where models analyze unlabeled data to uncover hidden patterns. Explore clustering, association, and dimensionality reduction techniques like k-means and PCA for data exploration and insights.
Explore the foundations of deep learning and artificial intelligence, focusing on neural networks, model training, and optimization techniques. Learn how AI models power innovations in image recognition, NLP, and more.
Gain proficiency in MySQL, a powerful relational database management system. Learn how to create, manage, and query databases using SQL to store and retrieve data efficiently.
Master Tableau for data visualization, enabling you to create interactive and insightful dashboards. Learn how to connect data, apply filters, and generate compelling visual reports for informed decision-making.
Explore Power BI and Google Data Studio for powerful data visualization and reporting. Learn to transform raw data into interactive dashboards and reports, empowering data-driven insights and decision-making.
Master essential data engineering tools to manage, process, and transform large datasets. Learn to work with technologies like Apache Hadoop, Spark, and Kafka for efficient data pipeline creation and optimization.
Explore Natural Language Processing (NLP) techniques to analyze and process textual data. Learn to integrate NLP models into production environments using MLOps practices for scalable and efficient machine learning workflows.
Learn how to design and implement effective AI strategies for business growth. This module covers key AI technologies, their applications, and how to align AI initiatives with organizational goals for maximum impact.
The Capstone Project module enables learners to apply their knowledge to real-world problems by working on domain-specific datasets. Participants will gain hands-on experience in data preprocessing, exploratory data analysis, predictive modeling, and result interpretation. This module fosters problem-solving skills and prepares learners for industry challenges while allowing them to showcase their expertise through a comprehensive project.
Disclaimer: Projects varies depending on learner’s preferred domain
Data Science and Analytics jobs are booming with 36% projected growth this decade. The data science platform market could surge from USD 10.15 billion (2024) to USD 29.89 billion (2029), demonstrating a 23.5% CAGR. This highlights the field’s rapid expansion.
Source :Analytics Insights
Source :365 Data Science
Source :Glassdoor
Source :Analytics Insights
Source :365 Data Science
Source :Glassdoor
ShefSolutions inc is a parent company of shefsolutions LTD is dedicated to providing comprehensive job assistance to students who complete the course at ShefSolutions LTD this program is designed to bridge the gap between education and employment, ensure that students are well prepared and connected to potential employers.
Dedicated placement coordinators to assist student in their job search
Resume building assistance to create a powerful resume & organize mock interview sessions with industry experts to simulate real interview scenarios
Leverage Shefsolutions inc extensive network of over 250 hiring partners to connect student with potential employers
