Data Analytics Certification Program by PW Skills
Data Analytics Course with 100% Placement Support | Perfect for Working Professionals & Freshers
Master Data Analytics with PW’s comprehensive training program, covering key tools like SQL, Python, Power BI, NumPy, and more.
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Data Analytics Tools Covered
Why Get Data Analytics Certification From PhysicsWallah?
Doubt Clearing Sessions
Assignment Evaluation & Solution
Industry Experts Led Live Sessions
PW Lab For Your Code Practice
Industry Relevant Projects
3+ Career Guidance Sessions
What Roles Can A Data Analytics Professional Pursue?
Data Engineer
Data Engineer with expertise in Python, SQL, Apache Spark, and ETL processes, specializing in building scalable data pipelines and optimizing data infrastructure.
Data Architect
Data Architect with expertise in AWS, Hadoop, Spark, and SQL, specializing in scalable data architectures and optimized data pipelines.
Data Scientist
Data Scientist proficient in Python, R, and machine learning, specializing in predictive modeling, data mining, and delivering actionable insights from complex datasets.
Data Analyst
Data Analyst with expertise in SQL, Python, and Excel, skilled in creating impactful dashboards, analyzing trends, and delivering data-driven insights for business growth.
Course Benefits
Diverse Project Portfolio + Capstone
Practice Exercises
Peer Networking
Industry Oriented Curriculum
Industry Recognized Certificate
Module Level Assignments
Frequently Asked Questions
What is data analytics?
Data analytics is the process of examining raw data to find patterns, draw conclusions, and support decision-making. It involves collecting, cleaning, transforming, and analyzing data
Why is data analytics important for businesses?
It helps businesses make informed decisions, identify trends, improve operations, understand customer behavior, and gain a competitive advantage
What’s the difference between data analytics and data science?
Data analytics focuses on analyzing existing data to generate insights.
Data science is broader, involving data modeling, machine learning, and building algorithms to predict outcomes.
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