Eduminds Learning acknowledges the essential relationship between a robust educational foundation and a successful career. That's why we've meticulously crafted our exclusive program, designed to bring you up to speed with the dynamic realms of data science and AI—key drivers in today's rapidly evolving technological landscape. Our Postgraduate Program (PGP) in Data Science doesn't just cover the theory; it's rich with practical skills essential for thriving in corporate and community roles.
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Through our program, you'll embark on a journey to become a pioneer in the industry, equipped with cutting-edge knowledge and skills. Whether you aspire to be a Data Scientist, an AI Researcher, or a visionary leader spearheading tech-driven projects, our PGP is your gateway to becoming a market leader.
At Eduminds Learning, we believe in learning by doing. Our curriculum includes hands-on projects led by top experts, ensuring you gain real-world experience as you study. This approach is ideal for seasoned professionals looking to shift into data-centric roles and newcomers eager to make their mark in the tech world.
Data science encompasses vital fields such as Artificial Intelligence, Big Data, Machine Learning, and Natural Language Processing (NLP). Today's Data Science and AI specialists are expected to be innovative, highly skilled, and deeply knowledgeable about the latest technologies.
We encourage data enthusiasts, students, and professionals from data-intensive sectors to advance their expertise with our leading-edge course. Developed with insights from industry leaders, our PGP in Data Science is tailored to supercharge your career and position you as an expert.
The curriculum spans essential topics like Python, Machine Learning, Deep Learning, NLP, SQL, and AI. Engage in real-world projects and hands-on lab experiences that transform your theoretical knowledge into practical proficiency, preparing you for today's tech and data landscape complexities.
Join our transformative PGP in Data Science and step confidently into a future where you not only understand the world of data science but also lead it. Enroll today and fast-track your journey to becoming a proficient Data Science professional.
Data Science continues to dominate as a critical field in today’s data-driven world, fueled by the dramatic rise in data production and the increasing necessity for organizations to harness this data for strategic advantages. This Post Graduate Program in Data Science is designed to provide you with the advanced skills required to process, analyze, and draw meaningful conclusions from vast datasets, making you a highly sought-after asset in the job market. The Bureau of Labor Statistics anticipates a 15% increase in demand for data science professionals by 2029, significantly outpacing the average growth rate for other professions.
In an era where data informs nearly every business decision, data science experts play a crucial role in guiding companies through data-driven strategies. Offered by MIT, this top-tier Data Science Post Graduate Program lays a solid groundwork in areas such as artificial intelligence, statistical modeling, and big data technologies, boosting your capacity to produce reliable insights that can profoundly impact business outcomes.
In this module, you'll cover a wide array of subjects essential for data science, such as mathematics, logic, statistics, finance, text handling, date and time management, and lookup functions. You'll also learn how to clean data and engineer features effectively. The basics of linear regression will be introduced, along with advanced methods for What-if Analysis and Scenario Management, equipping you with the tools needed to analyze and predict data outcomes effectively.
This module focuses on how to present and manipulate data using tools like Tableau and Power BI. You'll become proficient in creating charts and maps, visualizing data, and cleaning datasets. The lessons cover table calculations, detail expressions, calculated fields, aggregations, and understanding data granularity. Additionally, you'll gain hands-on experience with data extracts and filters to manage and analyze data more effectively.
This course module teaches you how to use Tableau and Power BI for data visualization. You will learn to create charts, maps, and manage data cleaning. The training includes table calculations, detail expressions, calculated fields, aggregations, and understanding data granularity. You will also learn how to design compelling dashboards and storyboards that effectively communicate your data insights
This course module delves into essential statistical concepts such as descriptive and inferential statistics, normal distribution, basic probability, and hypothesis testing. You will also learn about T-tests, Z-tests, ANOVA, Chi-squared tests, and the significance of P-values. This comprehensive overview will equip you with the foundational skills needed to analyze and interpret data effectively.
This course module focuses on managing missing values and outliers, applying categorical encoding techniques, and manipulating and transforming data. You'll also learn about data processing, feature engineering, data splitting, and feature scaling. These skills are crucial for preparing data effectively for analysis and modeling.
In this course module, you'll explore essential libraries vital for data science tasks. You'll learn to use Numpy for advanced mathematical calculations, Pandas for handling and manipulating data, and visualization tools like Seaborn, Plotly, and Matplotlib for crafting both interactive and 3D visualizations. These libraries are key to effectively analyzing and displaying data.
This module covers basic concepts of time series forecasting and models like AR, MA, ARMA, ARIMA, SARIMA, ARIMAX, SARIMAX, and introduces recommender systems, including content-based and collaborative filtering.
This module covers accessing databases with Python, loading tables, running SQL queries, and introducing query analysis for Python data frames using logical and comparison operators.
This module covers the basics of time series forecasting and models like AR, MA, ARMA, ARIMA, SARIMA, ARIMAX, SARIMAX, and introduces recommender systems, including content-based and collaborative filtering..
This module covers the history of Big Data, MapReduce concepts, an introduction to Spark, understanding Spark architecture, Big Data analysis with Spark, handling live data, and implementing machine learning algorithms on Big Data.
This module covers the fundamentals of Natural Language Processing, including text cleaning, lemmatization, stemming, text processing, and text analysis. You'll learn about sentiment analysis, topic modeling, and named entity recognition.
Methods of manipulating individuals to gain confidential information, typically used in conjunction with other attacks.
This module covers the fundamentals of Natural Language Processing, including text cleaning, lemmatization, stemming, text processing, and analysis. You'll also learn about sentiment analysis, topic modeling, and named entity recognition.
You will work on Projects such as Churn Analysis, Risk-Reward Analysis, Stock Market Analysis and Fraud Analysis.
You will learn Customer lifetime Analysis, Ad Campaign Analysis, Market Basket Analysis & Dynamic Pricing from this segment.
You will learn Payer and Provider Analytics, Analytics used in the Pharmaceutical Industry to understand core Healthcare Concepts.
You will learn Attrition Analysis, Promotion Analysis, Productivity Analysis & Resource Optimization to understand core BFSI Concepts.
Data Analysts and Data Scientists are highly sought-after professionals who earn good salaries and play a crucial role in helping businesses make informed decisions. They analyze data to find important trends and insights, which can guide strategic planning and improve business outcomes. This makes them vital in industries like finance, healthcare, and technology.
Students will have access to faculty mentorship, peer collaboration, and a dedicated career support team to help with internship placements and job searches post-completion.
Yes, the curriculum includes multiple hands-on projects designed to tackle real-world problems using data science tools and techniques. These projects help solidify learning and build a professional portfolio.
Upon successful completion, you will receive a Postgraduate Diploma in Data Science, which is recognized by industry leaders and can significantly enhance your employability.
Yes, data science is a great career choice for newcomers or beginners. It offers many job opportunities and good pay. Beginners can learn through courses and gain skills in analyzing data, which is valuable in many industries like technology, healthcare, and finance. Starting a career in data science can be a smart move for a stable and rewarding future.
Absolutely! Even if you're not from an IT background, you can still learn data science. It's about understanding patterns and making decisions based on data, which is a skill that can be learned with the right training. Data science offers a chance to work in exciting areas like sports, healthcare, and media. By taking a structured course and practicing, anyone interested can start a career in this dynamic field.
At Eduminds Learning, we offer over 600 hours of live training led by industry experts. We host special sessions to help you grasp essential practical skills and core concepts in detail. Along with tailored mentoring and soft skills training, you will receive personalized feedback on your tests, assignments, and mock exercises.