Top Skills You’ll Learn in a Data Science Course in India.pdf

Top Skills You’ll
Learn in a Data
Science Course in
India
@iabac.org

Key Elements:
Data Collection: Gathering raw data from
various sources.
Data Processing: Cleaning and transforming
data for analysis.
Data Analysis: Applying algorithms and statistical
methods to extract insights.
Data Visualization: Presenting findings in visual
forms (charts, graphs) for decision-making.
What is Data Science?
Data Science combines statistics, programming, and domain expertise to
extract insights from data.
@iabac.org
1.Data
Collection
3.Data
Analysis
4.Data
Visualization
2.Data
Processing

Reputation of Indian Institutes
Affordability & Accessibility of Courses
High Industry Demand for skilled professionals
Job Opportunities with top Indian and Global
companies
Practical Approach through projects, internships,
and real-world datasets.
@iabac.org
Why Take a Data Science Course in India?

Python: Most popular language for Data
Science, libraries like Pandas, NumPy, and
Matplotlib
R: Widely used in statistical computing and data
visualization
SQL: Essential for data querying, manipulation,
and database management
Key Takeaways:
Data cleaning and manipulation
Writing efficient code for large datasets.
@iabac.org
Skill #1: Programming & Scripting (Python, R, SQL)

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Skill #2: Data Visualization Techniques
Tools: Tableau, Power BI, Matplotlib, Seaborn
Importance of Visualization:
Converting complex data into
understandable visuals
Effective storytelling with data
Key Takeaways:
Building impactful charts, graphs, and
dashboards
Communicating insights visually for decision-
making.

Machine Learning (ML):
Algorithms: Linear Regression, Decision Trees,
KNN, etc.
Supervised and Unsupervised Learning
Deep Learning:
Neural Networks, CNNs, RNNs
Key tools: TensorFlow, Keras, PyTorch
Key Takeaways:
Understanding and applying ML algorithms
Training models for predictive analytics.
@iabac.org
Skill #3: Machine Learning & Deep Learning

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Skill #4: Statistical Analysis
Core Statistics: Descriptive and Inferential
Statistics
Hypothesis Testing
Probability Distributions
Key Takeaways:
Making data-driven decisions
Understanding statistical significance in
data.

Tools and Frameworks:
Hadoop, Spark, and NoSQL Databases
(MongoDB, Cassandra)
Processing Big Data:
Working with large datasets that don't fit into
memory
Key Takeaways:
Distributed computing and data storage
Data processing and analysis at scale.
@iabac.org
Skill #5: Big Data Technologies

Importance: Quality data leads to quality insights
Techniques:
Handling missing data, outliers, and noise
Data transformation and normalization
Key Takeaways:
Preparing raw data for analysis
Enhancing model accuracy by ensuring clean data.
@iabac.org
Skill #6: Data Cleaning & Preprocessing

Cloud Platforms:
AWS, Google Cloud, Microsoft Azure
Big Data Storage:
Data lakes, distributed file systems (HDFS)
Key Takeaways:
Storing and processing data on the cloud
Scalable solutions for large datasets.
@iabac.org
10: Skill #7: Cloud Computing & Data Storage

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Skill #8: AI & Natural Language Processing (NLP)
AI Integration:
Creating intelligent systems
NLP:
Text analysis, sentiment analysis,
chatbot creation
Key Takeaways:
Developing AI models for automation
Analyzing and understanding human
language in data.

Combining Data Science & Business Strategy
Leveraging data to drive business decisions
Key BI Tools:
Power BI, Tableau, Excel
Key Takeaways:
Translating data insights into actionable
business strategies.
@iabac.org
Skill #9: Business Intelligence (BI)

Communication Skills:
Presenting complex results in a simple, digestible
manner
Problem Solving:
Creative approaches to tackle data challenges
Collaboration & Teamwork:
Working with cross-functional teams
Key Takeaways:
Enhancing technical skills with soft skills for career
success.
@iabac.org
Skill #10: Soft Skills for Data Science Professionals

Job Roles:
Data Analyst, Data Scientist, Machine Learning
Engineer, Business Intelligence Analyst, etc.
Top Companies Hiring:
Infosys, TCS, Wipro, Amazon, Google, etc.
Expected Salary:
Growing demand = high salary potential
Growth Prospects:
Continuous learning, career advancements.
@iabac.org
Career Opportunities After Completing Data Science
Course

Top Skills You’ll Learn in a Data Science Course in India.pdf

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