Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Data Science with Python Course Key Features 100% Money Back Guarantee
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5 Weeks Training
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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.
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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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Mock Interviews
- 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!
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Data Science with Python Training Objectives
- Using Python libraries like Pandas, NumPy, SciPy, and Scikit-Learn, the Data Science with Python certification course offers a thorough understanding of Data Science analytics tools and techniques, including feature engineering, data visualisation, and predictive analytics. The course also covers the key machine learning libraries, including TensorFlow, Keras, Scikit-Learn, and others. By the end of the course, students should be able to build robust models and chart a lucrative career path in Data Science.
- Data Science with Python training allows you to become a Data Scientist, Data Analyst, Business Analyst, Machine Learning Engineer, Data engineer and many other roles. As Python is widely used in the data science field, it has opened up a lot of job opportunities to professionals trained in the language.
- The scope of Data Science with Python is vast and will continue to grow in the future. It is one of the most indispensable skills needed to become a successful data scientist. With the rise of big data, the demand for Data Scientists with a thorough knowledge of Python is likely to rise. Python is an easy-to-use programming language that offers an extensive library of tools and frameworks for data science.
- Yes, Data Science with Python is one of the emerging trends that will dominate the tech industry in the near future. Python is the most popular language for machine learning and Data Science as it offers great libraries and frameworks which can be used for data analysis, exploratory data analysis, preparing the data for machine learning, and running and training machine learning models.
- There are many platforms for practicing Data Science with Python lab. Some of the most popular ones are Google Colab, Kaggle, Jupyter Notebook, PyCharm, and Microsoft Azure Notebooks. These platforms allow you to easily write, run, and debug Python code as well as create data visualizations using Python libraries such as NumPy, Pandas, and Matplotlib.
- In our Data Science with Python online training, you will learn skills such as linear regression, logistic regression, data wrangling, feature engineering, data visualization, predictive analytics, machine learning algorithms, deep learning algorithms, and big data technologies.
- Data Science with Python course is necessary for those who want to enter the field of data science and are looking to become a successful Data Scientist. The course is essential to learn the fundamentals of programming in Python, understand data analytics tools and techniques, and build powerful models using data modelling techniques.
- The requirements for the Data Science with Python course are knowledge of basic programming concepts, an understanding of statistics and mathematics, and the ability to use a computer. Additionally, knowledge of another programming language such as Java or C++ would be beneficial.
- Equip learners with the skills to work with data in Python.
- Understand the basics of Data Science.
- Learn the fundamentals of programming in Python.
- Utilize data analytics tools and techniques such as data exploration, data aggregation, feature engineering, data visualization, and predictive analytics using Python libraries.
- Apply data modelling techniques to create powerful models.
The objectives of Data Science with Python online training are to:
- Data Science with Python is used to analyze data, process it, extract meaningful insights, and build powerful predictive models. It is used to solve complex problems such as forecasting, prediction, optimization, and automation. Python is also used for visualization tasks such as creating data visualizations, interactive plots, and dashboards for data analysis and presentation.
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.
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Pranav Srinivas
Software Testing, CapgeminiData 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.
- 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.