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(Class 1Hr - 1:30Hrs) / Per Session
(Class 1Hr - 1:30Hrs) / Per Session
(Class 3hr - 3:30Hrs) / Per Session
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Overview of Data Science with Python Online Training
Learnovita's Data Science with Python training course instructs you in the fundamentals of Python programming so that you may reach mastery in the language. Data analysis, ML, visualization, scraping the web, and NLP are just some of the skills you may acquire by taking this Python for Data Science course (NLP). Successful course completion means you'll be fluent in Python's implementation of core Data Science tools. With Python, a programming language, you may learn data science by using what you've learned in real-world industries like retail and e-commerce-based enterprises.
Learn and advance your career with our Data Science with Python Training in Gurgaon :
- This course provides the core concepts of data science, including exploratory data science, statistics, hypothesis testing, regression classification modeling techniques, data visualization, and machine learning algorithms.
- Data Science with Python Certification Training will instruct students on the fundamentals of Python programming, covering subjects like lambdas, reading and manipulating CSV files, and the Numpy module, among others.
- Learn how to use Python for data science effectively with aid of this course. You will be entrusted with working on a number of Python libraries, including SciPy, NumPy, Matplotlib, Lambda function, and others.
- Every course we provide has two real-world projects that give you practical experience. The practical knowledge enhances your domain understanding and makes it easier for you to pass certification exams.
- Our instructors teach all course content using the demonstrative method; participants learn new concepts through exercises and real-world application experiences.
- You will receive a certificate of completion after completing the training, which will strengthen your resume and increase your chances of landing a job.
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
Data Science with Python Course Key Features 100% Money Back Guarantee
5 Weeks TrainingFor Become a Expert
Certificate of TrainingFrom Industry Data Science with Python Experts
Beginner FriendlyNo Prior Knowledge Required
Build 3+ ProjectsFor Hands-on Practices
Lifetime AccessTo Self-placed Learning
Placement AssistanceTo Build Your Career
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.
Annual SalaryHiring Companies
Data Science with Python Course Curriculam
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.
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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Analyzing and Visualizing Financial Data
In this Analyzing and Visualizing Financial Data project is used to develop predictive models and generate forecasts.
Text Analysis of Twitter Data Explanation
This type of project can be used to draw meaningful insights into customer sentiment, public opinion, and other trends.
Exploratory Data Analysis of Census Data
This project by analyzing the data, it is possible to gain insights into the population, economic trends, and other factors.
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
How Learnovita Mock Interview Works?
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Data Science with Python Training Objectives
- A programme called the Data Science with Python Certification provides individuals with the knowledge and expertise needed to utilise Python for data analysis, machine learning, and data presentation. Data manipulation, data exploration, statistical analysis, machine learning algorithms, and data presentation methodologies are often addressed.
- The programming language commonly used for Data Science with Python is, as the name suggests, Python. Python provides a wide range of libraries and tools specifically designed for data analysis, manipulation, and visualization, making it a popular choice among data scientists.
- The difficulty level of Data Science with Python can vary depending on your background and prior experience with programming and statistics. If you are already familiar with Python or have some programming knowledge, learning data science concepts and applying them with Python may be relatively easier. However, if you are new to programming or statistics, there may be a learning curve involved. With dedication and practice, anyone can grasp Data Science with Python.
- Data Science with Python can be a high-paying job. Data scientists are in high demand due to the increasing importance of data-driven decision making in various industries. Salaries for data scientists with Python skills are often competitive and can vary depending on factors such as experience, location, and the industry you work in.
- Data Science with Python training is suitable for individuals who have an interest in data analysis, statistics, and programming. It is ideal for those who want to pursue a career in data science or want to enhance their existing skills in Python for data analysis. Professionals in fields such as analytics, business intelligence, research, and data-driven decision making can also benefit from this training.
- The topics covered in a Data Science with Python course can vary, but typically include essential concepts such as data cleaning, data visualization, exploratory data analysis, statistical modeling, machine learning algorithms, and predictive analytics. The course may also cover popular Python libraries like NumPy, Pandas, Matplotlib, and scikit-learn.
- Data Science with Python is used in a wide range of industries and domains. It finds applications in finance, healthcare, marketing, e-commerce, telecommunications, social media, and more. Any industry that deals with large amounts of data and wants to gain insights, make predictions, or optimize processes can benefit from Data Science with Python.
- Data Science with Python is used to analyze and interpret data, uncover patterns and trends, make data-driven decisions, build predictive models, perform statistical analysis, create visualizations, and automate data-related tasks. Python's extensive libraries and tools make it suitable for handling complex data analysis tasks efficiently.
- Yes, Data Science with Python is considered an IT skill. It involves utilizing programming languages, statistical techniques, and machine learning algorithms to extract insights and value from data. Python is widely used in the IT industry for data science projects, making it an essential skill for data professionals.
- Data Science with Python is highly in demand. The increasing availability of data and the need to derive meaningful insights from it has led to a surge in demand for skilled data scientists proficient in Python. Companies across industries are looking for professionals who can harness the power of data to drive informed decision making.
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.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Pranav SrinivasSoftware Testing, Capgemini
Data Science with Python Course FAQ's
- LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
- LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
- More than 5400+ students placed in last year in India & Globally.
- LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
- LearnoVita Certification is Accredited by all major Global Companies around the World.
- LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- 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.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.