Data Science Tools Taught at Our Delhi Campus: Powering the Next Gen of AI Innovators
Mr. Irshad Khan / 3 days ago - 15
- 11 min read
Our comprehensive Data Science program is frequently designed to make you best industry job-ready with all hands-on training in cutting-edge tools available with ease, real-time projects, and industry simulations to meet changing needs. From Python programming language to Power BI visualizations, from SQL database to Spark, we then provide you with the complete tool that today’s data professionals swear by anytime.
Let’s walk you now through the top Data Science tools that are available and have been taught at our best kind of Delhi campus nowadays, and then how they’ll prepare you for the best set of future-proof careers that will bring you success, joy, and a good salary..
1. Python programming language: The King of all time trending Data Science Languages
Why It’s Just Taught: Python programming language is the most versatile and also one of the widely used programming languages in the Data Science stream. At our campus, the Python programming language is the first tool that you can easily master.
What You Learn from this course :
Data structures and functions are available that will help you a lot.
NumPy and Pandas for data manipulation libraries are in demand, and
Matplotlib and Seaborn for data visualization purposes
Scikit-learn for machine learning helps a lot in algorithm analysis.
TensorFlow & Keras for deep learning domains (Advanced track)
Projects You’ll Build are as follows :
The house price prediction model is seen to be quite trending.
Fraud detection using classification is seen to a great extent.
A stock market trend visualizer helps to choose the right stock.
Industry Insight prediction: Python programming language is often used by firms like different companies, ranging from Zomato, Flipkart, and TCS, to analyze all types of consumer behavior, optimize logistics, and forecast revenues at the same time.
2. R Programming: The Statistician’s Weapon that you are looking for nowadays
Why It’s all Taught and said: R programming language is the best kind of statistical powerhouse that you are looking for. If you're one who is diving deep into a research area in general, hypothesis testing, or even some of the predictive modeling, R is your best friend to help. You can put it in anytime.
What You Learn from this :
Data wrangling with and ok functions is there to help you out.
Statistical tests and ANOVA help a lot in all this analysis.
Data visualization with ggplot2 is another set of useful tools.
Regression, clustering, and time series analysis are quite useful.
Projects You’ll Build are mentioned below :
A customer segmentation model helps a lot in classifying customers.
Forecasting sales using ARIMA tricks
Market basket analysis using association rules helps a lot nowadays.
Why It Matters a lot: R programming language is a quiet and most widely used in different industries like healthcare, academic research, and government sectors to a great extent, including by organizations like WHO and ISRO, which are in demand.
3. SQL: Speak the Language of Databases with ease
Why It’s Taught to You: Every Data Scientist nowadays frequently needs to extract all the required data, and A SQL database is the key. From relational databases to other sets of cloud warehouses, SQL is everywhere present to help you execute tasks with ease..
What You Learn from this :
Writing complex queries helps in many ways.
Data filtering, grouping, and joins are much more useful.
Subqueries and window functions help in many different ways.
SQL optimization techniques are in demand.
Live Use available Case: You’ll work on a different set of real-world e-commerce datasets, that are now writing SQL queries to analyze customer-related purchase behavior and return trends to a great extent.
Pro-Tip: SQL is often tested in all kinds of interviews, even at companies like Google and Amazon. It’s your passport to later do some sort of structured data analysis.
4. Excel: Old But Gold simultaneously
Why It’s Taught at that time: Before you dive deep into code, you just need to understand all of the data patterns that are available, and also later, Excel, which then helps you do just that. It’s also still one thing that is widely used in business reporting areas.
What You Learn from this :
Pivot tables and VLOOKUP formulas
Advanced formulas are available to help.
Data cleaning and validation help get the curated data you want
Basic dashboards and visualizations are another kind of tool.
Mini Projects that are available :
Sales trend analysis for a retail store is also one that needs to be considered.
An inventory management tracker is also quite essential.
Career Relevance section: Consulting firms, some of the banks, and even marketing-based teams use Excel for ad-hoc analysis and reporting purposes.
5. Power BI: Make Your Data Speak in pictorial format
Why It’s Taught: The Power BI tool is Microsoft's best kind of business intelligence tool. It helps you convert raw data into compelling, interactive dashboards that you are looking for.
What You Learn from this :
Data import and transformation Power is seen (Power Query)
DAX formulas are also important
Custom visuals and drill-down dashboards are quite in demand.
Real-time report publishing is essential.
Projects You’ll Build with the help of this :
An executive dashboard for a telecom company is one such application among many.
Profit-loss analysis for an e-commerce brand is also prepared.
Placement Edge: Mastering all kinds of Power BI sets you just apart in all kinds of interviews for roles like trending Business Analyst, Data-based Visualizer, and also some kind of Reporting Analyst.
6. Tableau: Storytelling With Data is done
Why It’s Taught to everyone: While Power BI tool rules in corporate setups, Tableau-based section also dominates a lot and and also some startups and other analytics firms for its best set of flexibility and aesthetics.
What You Learn from this :
Building dashboards from scratch with ease with this tool
Data joins and blends are carried out.
Calculated fields make an impactful change.
Storyboarding and publishing help a lot more times.
Capstone Challenge: Create an appealing visual story using some of the Tableau tools on the Indian job trending market trends post-COVID period.
Why Recruiters often Love It: Visual kind of best kind = higher useful impact = better kind of business decisions. Simple as that.
7. Hadoop and Spark: Big Data’s Best Friends nowadays
Why It’s Taught to You: Not all data fits into this trending Excel or SQL database. Enter Hadoop and Spark, which are just one of the open-source big data tools designed to handle extensive, massive volumes of unstructured data.
What You Learn from this :
HDFS (Hadoop Distributed File System) kind of system
MapReduce and YARN are useful.
Apache Spark’s architecture is trending.
PySpark for data processing and ML algorithms
Real-World Scenario: Build a system to then analyze some of the demanding clickstream data of a news-based website to just recommend popular kinds of articles on real real-time basis.
Big Data Edge is listed here: Netflix, Facebook, and Uber use some of the important and crucial Spark for recommendation-based engines, fraud detection, and also for other trip forecasting.
8. Git and GitHub: Collaborate Like a Pro that you want to be
Why It’s Taught to be like this: Version control set is vital for every kind of developer and also analyst. Git and GitHub also make sure that your work never gets lost at any time, and is easy to share at the same time.
What You Learn from all this:
Git commands are available (init, commit, push, pull)
Branching and merging help many to get the desired results.
Publishing projects on GitHub is useful for all.
How You Benefit: All of your projects just during the course are now published on a GitHub repository, creating a live set of portfolio you can show recruiters anytime.
9. Jupyter Notebook & Google Colab features
Why It’s Taught you like: These are the most of the most beginner-friendly environments for all the coding in the Python programming language, experimenting with different sets of data, and then showcasing projects.
What You Learn from this :
Markdown + code cells help you a lot.
Data visualization directly in the browser is available.
Integration with Google Drive is possible (for Colab)
Project Highlight: You’ll now use Colab to create a classification-based model to predict whether a particular customer will churn from a telecom company or not
Conclusion:
Enroll in every demanding and changing career of Data Science training course in Delhi and be ready to ace or push your career in the right direction that you have ever wanted.
