Data Science Training

Pivotalsoft is the NO.1 Data Science training institute offering the Best Data Science training in Visakhapatnam, expert guidance and 100% placement assistance. Are you seeking a Data Science job? Are you an IT professional longing for a career change in Data Science?

Are you a Programmer looking to acquire the best Data Science project support? Are you a team looking for the best Data Science classroom training, online training and real-time hands-on training on Data Science? Are you looking for a fast track Data Science course?

Are you willing to do one on one Data Science training in Visakhapatnam ? Are you keen to undergo live online training on Data Science? Are you a college student interested to learn data analytics? Do you need Data Science project support on the job?

If any of these above questions is hitting your mind, Don't worry...We are here to help you with Data Science course.

From the day 1 until the course completion, Pivotalsoft and our well qualified data analytics tutors will provide you the unique, supportive and convenient learning environment. So, you can make use of this golden opportunity to learn a technology from the scratch until programming.

Data Science deals with various fields which consists of methods, process, planning, and extracts the knowledge of the system or idea from the data which is organized or unorganized like Data Mining. Data Science is very useful to manage large sets of data which is using various algorithms and analysis.

You Will Learn:

• Master the fundamentals of writing Python scripts.
• Learn core Python scripting elements such as variables and flow control structures.
• Search text using regular expressions.
• Write Python functions to facilitate code reuse.
• Use Python to read and write files.
• Make their code robust by handling errors and exceptions properly.
• Work with the Python standard library.
• Explore Python's object-oriented features.
• Discover how to work with lists and sequence data.
• Data Analysis.
• Data Mining.
• Machine Learning.
• Difference between Analytics vs. Data Science.
• Analytics and its types.

Course Content:

• SECTION 1: INTRODUCTION TO DATA SCIENCE
• What is the need for Data Scientists.
• Data Science Foundation.
• Business Intelligence.
• Data Analysis.
• Data Mining.
• Machine Learning.
• Difference between Analytics vs. Data Science.
• Analytics and it’s types.
• Lifecycle Probability.
• More about Analytics Project Lifecycle.
• SECTION 2: DATA
• Data Categorization basics.
• Different Types of Data.
• Types of Data Collection.
• Forms of Data and Sources.
• Data Quality and Changes.
• Data Quality Issues.
• Data Quality Story.
• Data Architecture and it’s Components.
• OLTP vs. OLAP.
• How Data is being stored.
• SECTION 3: DATA SCIENCE DEEP DIVE
• What is Data Science.
• Demand for Data Scientists.
• What is Data Product.
• Need for Data Science.
• Large Scale Analysis Cost vs Storage.
• Data Science – Skills.
• Data Science – Use Cases.
• Data Science Project Life Cycle & Stages.
• What is Data Acquisition.
• Sourcing the data.
• Techniques.
• Evaluating the input data.
• Data formats.
• Data Quantity.
• Data Quality.
• Resolution Techniques.
• Data Transformation.
• File format Conversions.
• Anonymization.
• SECTION 4: MACHINE LEARNING
• Math behind machine learning.
• Data Structures and its classification.
• Data Structures – Correlation and regression.
• Data Structures – Prediction and Forecasting.
• Case Study – Data Science trends.