Enquire Now
Enquire Now
Enquire Now
Are you looking for a Data Analytics Course in Ghaziabad? Ducat India offers the best Data Analytics Training in Ghaziabad with the best industrial experts. The training will be a completely practical learning approach and live project-based. Ducat provides highly professional and expert training as per the industry needs, with a special focus on 100% practical and project-based programs, hands-on sessions with a specific focus, online doubt-clearing sessions as well as backup online recorded sessions, and a forum accessible for problems and requests.
Ducat is the best Data Analytics Institute in Ghaziabad offers the best Data Analytics Certification course with the Industrial experts who have 10+ years of professional experience. Our training approach concentrates on developing soft skills, logical thinking, personality, and interview preparation with industry experts, along with enhancing technical skills such as Excel, data-driven presentations, SQL data manipulation, Python data analysis, and Tableau data visualization.
Data Analyst Course in Ghaziabad offers classroom training and Data Analytics Online Courses are both available with job-oriented training, including skills and technologies such as statistical analysis, text mining, regression modelling, hypothesis testing, predictive analytics, Tableau, and
Read more ...Learn The Essential Skills
Earn Certificates And Degrees
Get Ready for The Next Career
Master at Different Areas
What You Will Learn?
Data Visualization
Statistical Analysis
Machine Learning
Data Interpretation
What is Data Analytics? Importance and applications of data analytics Data analytics tools and software
Types of data (structured, unstructured, semi-structured) Data sources and data collection methods Data storage and management
Data cleaning and data quality Data transformation and normalization Handling missing data
Descriptive statistics Data visualization techniques EDA tools and libraries
Probability and statistics concepts Hypothesis testing Regression analysis
Data manipulation using SQL Data cleaning techniques Feature engineering
Data visualization principles Creating meaningful visualizations
Introduction to machine learning Supervised vs. unsupervised learning Model evaluation and metrics
Introduction to Python or R Libraries for data analysis (e.g., Pandas, NumPy) Working with data in Python or R
Clustering and classification Time series analysis Text and sentiment analysis