Module - 1
SQL & Data Management
Dive deep into the world of Structured Query Language (SQL). Starting with the foundational commands, you'll explore intricate aspects of data modeling, ensuring the creation and management of robust database systems. Understand the nuances between relational databases, learn to write efficient queries, and grasp advanced techniques that industry professionals use daily.
Python for Data Analysis
Python stands tall as the premier programming language in the realm of data analytics. This unit introduces you to its vast capabilities, from basic syntax to complex data structures. Engage in data manipulation using libraries like Pandas and NumPy, scrape web data seamlessly, and undertake practical projects that simulate real-world challenges.
Excel & Data Visualization
Work on collaborative projects to build a large system that explores all concepts that are important for understanding real world applications.
Soft Skills for Data Analysts
In the data domain, technical prowess needs to be complemented by effective soft skills. This unit emphasizes the importance of clear communication, especially when conveying complex data insights. You'll also engage in exercises that enhance your critical thinking, ensuring you approach data challenges with a problem-solving mindset.
Module - 2
Exploratory Data Analysis
The first step in any data-driven endeavor is understanding the data in hand. EDA is this crucial step. Here, you'll harness Python's powerful libraries to dissect data, unravel its structures, and detect anomalies. From visualizing data distributions to testing hypotheses, this unit ensures you're well-equipped to initiate any data science project with confidence.
Probability & Statistics
As the backbone of data science, a strong foundation in probability and statistics is indispensable. This unit immerses you in the world of stochastic events, random variables, and statistical measures. Learn how to employ these concepts to make predictions, infer trends, and validate hypotheses, ensuring your data science endeavors are rooted in solid mathematical principles.
Machine Learning Basics
Machine Learning brings automation and intelligence to the fore. In this unit, you'll venture into the domain of predictive analytics, understanding how machines can be taught to learn from data. From understanding the difference between supervised and unsupervised learning to building your first regression model, this unit ensures you're well on your way to becoming a machine learning aficionado.
Soft Skills for Entry-Level Data Scientists
The most intricate algorithms and profound insights can be rendered ineffective without the right communication skills. This unit emphasizes the 'human side' of data science. Learn to convey complex data stories in understandable narratives, collaborate across teams, and approach challenges with a problem-solving mindset. In essence, hone the skills that make your technical expertise truly shine.
Module - 3
Guesstimates & Case Studies
The business world often demands swift, educated estimations in the face of ambiguity. This unit immerses you in the realm of guesstimates and case studies. Learn to navigate complex business scenarios, leveraging data, logic, and intuition. Delve deep into market trends, understand competitive landscapes, and engage in strategic decision-making exercises. By mastering these techniques, you'll be equipped to tackle intricate business challenges with clarity and confidence.
In the age of data-driven decisions, the ability to visually represent insights becomes paramount. With Power BI, dive into a world where data isn't just numbers but compelling narratives. Master the creation of interactive dashboards, detailed reports, and visually striking representations. This unit ensures that your analyses don't just stay on paper but are effectively communicated, influencing stakeholders and guiding business strategies.
Module - 4
Foundations of Data Engineering
Data Engineering isn't just about handling data but structuring and optimizing it for downstream processes. Dive deep into the foundational pillars of this field, exploring everything from traditional to modern data architectures. Understand the nuances between various database types, from relational to NoSQL. Grasp the significance of meticulous data extraction, transformation, and loading processes, ensuring that data is not just stored but primed for insightful analytics.
ETL Orchestration & Optimization
ETL processes form the lifeblood of Data Engineering. This unit plunges into the orchestration and fine-tuning of these crucial processes. Design efficient ETL workflows, manage dependencies with Directed Acyclic Graphs (DAGs), and ensure your data pipelines are both robust and reliable. By mastering performance tuning, data partitioning, and caching, you'll ensure data is processed swiftly and efficiently, readying it for any analytical challenge.
Advanced Data Engineering
The world of Data Engineering is vast, with advanced topics offering deep dives into specialized areas. Venture into the nuances of advanced data transformation, handle streaming data in real-time, and manage vast datasets that fall under the 'Big Data' umbrella. Moreover, familiarize yourself with cloud-based data tools and platforms, ensuring your data pipelines are both scalable and versatile. This unit emphasizes hands-on experiences, ensuring you're well-equipped to tackle real-world challenges.