Data Science with Python Training Objectives
- Data Science with Python Certification refers to a program or course that provides comprehensive training and assessment in using Python for data analysis, machine learning, and other data science techniques. It aims to equip individuals with the skills and knowledge needed to effectively work with data, extract insights, and make data-driven decisions using Python programming.
- High demand: Data science professionals with Python skills are in high demand across industries due to the increasing reliance on data-driven decision making.
- Versatility: Python offers a wide range of libraries and tools specifically designed for data science tasks, making it versatile and widely used in the field.
- Career opportunities: Learning Data Science with Python can open up numerous career opportunities in data science, machine learning, data analysis, and related fields.
- Data manipulation and cleaning using libraries like pandas.
- Data visualization with Matplotlib and other visualization tools.
- Exploratory data analysis and statistical techniques.
- Machine learning algorithms and model building using libraries like scikit-learn.
- Model evaluation and performance metrics.
- Equipping participants with the necessary skills and knowledge to effectively work with data using Python.
- Providing hands-on experience in data manipulation, analysis, visualization, and machine learning with Python libraries.
- Building a strong foundation in data science concepts and techniques.
- Preparing participants to apply data science skills to real-world problems and make data-driven decisions.
- Data Science with Python is a rapidly growing field with strong future prospects. As organizations increasingly rely on data-driven decision making, the demand for professionals skilled in data science with Python is expected to continue to rise. Learning Data Science with Python can provide you with valuable skills and open up diverse career opportunities in industries such as finance, healthcare, technology, marketing, and more.
- Data scientist.
- Data analyst.
- Machine learning engineer.
- Data engineer.
- Business analyst.
- Basic programming knowledge and understanding of programming concepts.
- Familiarity with mathematics and statistics.
- A computer with Python and relevant libraries installed.
- Curiosity and eagerness to learn and apply data science techniques.
- Analytical and problem-solving skills.
- Acquiring in-demand skills.
- Hands-on experience.
- Comprehensive curriculum.
- Industry relevance.
- Data Science with Python courses can be remarkable for individuals who want to enter or excel in the field of data science. They provide a structured and comprehensive learning path, practical hands-on experience, and exposure to industry-relevant tools and techniques. The remarkability of a course also depends on the quality and reputation of the training provider, so it's important to choose a reputable course.
- The salary of Data Science with Python professionals can vary based on factors such as experience, location, industry, and job role. Generally, Data Science with Python professionals command competitive salaries due to the high demand for their skills. Salaries can range from entry-level positions starting at around ₹5-8 lakhs per annum to senior-level roles earning ₹20 lakhs or more per annum.
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
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Annual SalaryHiring Companies
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
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We’re Doing Much More!
Empowering Learning Through Real Experiences and Innovation
Data Science with Python Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Data Science with Python Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Data Science with Python technologies :
Syllabus of Data Science with Python Online Course Download syllabus
- What is Data Science?
- What does data science involves?
- Life cycle of Data Science
- Tools of Data Science
- Introduction to Python
- Introduction to python
- Software installation
- Basic operators and functions
- Data types with python
- Conditional statement
- Introduction to Numpy
- Introduction to numpy arrays
- How to Access Array Elements?
- Indexing, Slicing, Iteration, Indexing with Boolean Arrays
- Measures of Central Tendency
- Measures of Dispersion
- Descriptive Statistics
- Probability Basics
- Marginal Probability
- Bayes Theorem
- Probability Distributions
- Hypothesis Testing
- Understand Time Series Data
- Visualizing Time Series Components
- Exponential Smoothing
- Holt's Model
- Holt-Winter's Model
- Introduction to Pandas
- Defining data structures
- Understanding Dataframes
- Importing Data from various sources
- Missing values
- Data Operations
- File read operations
- Descriptive statistics
- Create plots like scatter plot
- Histogram, Bar graph, Pie chart using Matplotlib Grids
- Machine learning Process Flow
- Machine learning categories
- Feature selection and extraction in machine learning
- Supervised learning algorithms
- Simple linear Regression
- Applications of linear regression
- Building regression models using python
- Process to implement linear regression
- Coefficient of determination (R- Squared)
- Accuracy of model
- Multiple linear Regression
- Parsing HTML and XML
- Navigating the document
- Handling CSV files
- Parsing JSON into Python
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Industry Projects
Exam & Certification
- Participate and Complete One batch of Data Science with Python Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Data Science with Python course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
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Data Science with Python Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
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- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.
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