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Best Data Science Certification for Beginners in the US
Your Gateway to a Thriving Data Science Career in the US
The world runs on data. From predicting consumer behavior to driving groundbreaking scientific research, data is the new currency. For those looking to enter this dynamic field, a credible certification is often the first step toward a successful and lucrative career. At Shef Solutions LLC, we’re committed to guiding aspiring tech professionals. That’s why we’ve curated this definitive guide to the best data science certifications for beginners in the US for 2025.
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Data Science Program Overview
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.
Key Features
- 100% Job assistance through our in-house recruitment agency with over 250 hiring partners
- Industry-recognized advanced Data Scientist and AI certificate from Shef Solutions LLC
- Capstone from Various domains and industry relevant projects
- Program crafted to initiate your journey as a Data Scientist…
- Professional-level training from Microsoft Industry-recognized certificate from Microsoft
- Integrated labs for hands-on learning experience
- Dedicated live sessions by faculty of industry experts
- Lifetime access to self-paced learning content through our Learning Management System
- Small batch sizes to ensure that each student receives personalized attention and tailored instruction
- Free access to our Skill Enhancement Program, which offers free self-paced certification courses on emerging industry skills to keep you up-to-date.
- 100% Job assistance through our in-house recruitment agency with over 250 hiring partners
- Industry-recognized advanced Data Scientist and AI certificate from Shef Solutions LLC
- Capstone from Various domains and industry relevant projects
- Program crafted to initiate your journey as a Data Scientist
- Professional-level training from Microsoft
- Industry-recognized certificate from Microsoft
- Integrated labs for hands-on learning experience
- Dedicated live sessions by faculty of industry experts
- Lifetime access to self-paced learning content through our Learning Management System
- Small batch sizes to ensure that each student receives personalized attention and tailored instruction
- Free access to our Skill Enhancement Program, which offers free self-paced certification courses on emerging industry skills to keep you up-to-date.
Data Science + AI Certification Advantage
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.
Earn Your Data Science and AI Certificate
- Industry-recognized certificate by Shefsolutions LLC
- Dedicated live sessions by faculty of industry experts
- Lifetime access to self-paced learning content
Get Ahead With Microsoft Advantage
- Content and certificate by Microsoft
- Professional-level training from Microsoft
- LinkedIn profile Shareable certificate
Data Science and AI Certification Program Learning Path
Boost your career with our leading data science and AI program. Master essential skills and demonstrate your expertise through our carefully designed learning path.
Advanced Program in Data Science Program Curriculum
Module 1: Python Programming
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.
Module 2: Libraries of Python Programming with EDA
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.
Module 3: Mathematics for Data Science
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.
Module 4: Machine Learning- Supervised
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.
Module 5: Machine Learning- Unsupervised
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.
Module 6: Deep Learning and AI
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.
Module 7: MySQL
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.
Module 8: Tableau
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.
Module 9: Power BI and Google Data Studio
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.
Module- 10: Data Engineering Tools
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.
Module- 11: NLP with MLOPS
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.
Module- 12: AI Strategy
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.
Module- 13: Domain Wise Capstone Projects
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.
Industry Projects
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
Disclaimer: Projects varies depending on learner’s preferred domain
Join the Data Science industry
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.
11.5 M
Expected new Jobs for Data Science and AI
Source :Analytics Insights
36%
Annual job growth by 2030
Source :365 Data Science
$90K - $125K
Average Annual Salary
Source :Glassdoor
Source: Analytics Insights
Source: 365 Data Science
Source: Glassdoor
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