Unleash Your Data Science Potential with Diti Technologies
- Master Data Science with guidance from industry pros who simplify complex topics like Python, Machine Learning, and AI.
- uild job-ready skills by working on practical projects that mirror challenges faced in top tech companies.
- Get tailored resume help, mock interviews, and placement assistance to land your dream Data Science role.
Explore Our World Class Courses
Your Roadmap to A Successful Data Science Career.
- Mode : Online/Classroom
- Duration : 5 months
- 1500+ Learners
Data Analytics
Your Roadmap to A Successful Data Science Career.
- Mode : Online/Classroom
- Duration : 5 months
- 1500+ Learners
Snow Flake
Your Roadmap to A Successful Data Science Career.
- Mode : Online/Classroom
- Duration : 5 months
- 1500+ Learners
Your Roadmap to A Successful Data Science Career.
- Mode : Online/Classroom
- Duration : 5 months
- 1500+ Learners
S/4 Hana
Your Roadmap to A Successful Data Science Career.
- Mode : Online/Classroom
- Duration : 5 months
- 1500+ Learners
Course Highlights
200+ Hours of Classroom & Online Training
18+ Real-Life Industry Projects
3 Hands-on Capstone Projects
Job Placement Assistance
Weekend & Weekday Batches
1500+ Learners
Why Choose Data Science as a Career?
In the digital age, data is the backbone of decision-making across industries. From healthcare to finance, e-commerce to manufacturing, businesses rely on data to drive innovation, optimize operations, and gain a competitive edge. Data Science, an interdisciplinary field combining statistics, computer science, and domain expertise, is at the heart of this transformation.
Here’s why Data Science is one of the most rewarding career paths today:
- High Demand: Data Scientists are in demand globally, with Hyderabad emerging as a major IT hub hosting top MNCs and startups. Over 13,000 Data Science job openings are available in Hyderabad alone, making it a hotspot for career opportunities.
- Lucrative Salaries: Entry-level Data Scientists in Hyderabad earn between ₹4-7 lakhs per annum, while senior professionals can command salaries exceeding ₹15-30 lakhs per year.
- Versatile Roles: Data Science opens doors to roles like Data Analyst, Data Engineer, Machine Learning Engineer, AI Specialist, and more, across diverse sectors.
Future-Proof Career: With data generation growing exponentially, the need for skilled Data Scientists is set to rise by 27.9% globally by 2026.
Modules in Data Science
What is Data Science?
Data Science lifecycle
Roles: Data Analyst vs. Data Scientist vs. ML Engineer
Tools used in Data Science (Jupyter, Anaconda, Git, etc.)
Descriptive & Inferential Statistics
Probability Theory
Hypothesis Testing
Linear Algebra basics
Calculus essentials
Python (Primary language) or R
Data structures, functions, loops
Libraries: NumPy, Pandas, Matplotlib, Seaborn
Data wrangling and manipulation
Exploratory Data Analysis (EDA)
Visualization tools and techniques
Dashboards using Power BI, Tableau or Plotly
Storytelling with data
Relational Databases and SQL basics
Joins, subqueries, aggregations
NoSQL introduction (MongoDB)
Connecting databases with Python
Introduction to Neural Networks
CNNs (Convolutional Neural Networks)
RNNs and LSTMs (for sequential data)
Frameworks: TensorFlow, Keras, PyTorch
Transfer learning
Text preprocessing (tokenization, stopwords, stemming)
Sentiment analysis
Topic modeling (LDA)
Text classification with ML/DL
Introduction to Big Data technologies (Hadoop, Spark)
Working with large datasets
Basics of AWS/GCP/Azure for data science projects
Deploying models on cloud
End-to-end real-world data science project
Data collection, cleaning, modeling, and deployment
Presentation and documentation
