Learning Objective: Demonstrate knowledge of statistical data analysis techniques utilized in decision making. Apply principles of Data Science to the analysis of problems. Be able to restate an investigative question in terms of a statistical model or algorithm.

Inferential statistics

• Standard error
• Confidence interval
• Hypothesis testing
• p-value

Sample vs. population mean

• Variance of population

Probability and statistics

• Probability density functions
• Poisson Process
• Law of large numbers
• Normal distribution
• Sampling distribution
• Mean
• Variance of Bernoulli
• Regression

Learning Objective: The purpose of machine learning is to discover patterns in your data and then make predictions based on those often, complex patterns to answer business questions, and help solve problems. Machine learning helps analyze your data and identify trends.

Introduction

• What is Machine learning?
• Overview about sci-kit learn and tensorflow
• Types of ML
• Some complementing fields of ML
• ML algorithms
• Machine learning examples

NumPy Arrays

• Creating multidimensional array
• NumPy-Data types
• Array attributes
• Indexing and Slicing
• Creating array views and copies
• Manipulating array shapes
• I/O with NumPy

Working with Pandas

• Installing pandas
• Pandas data frames
• Pandas Series
• Data aggregation with Pandas Data Frames
• Concatenating and appending Data Frames
• Joining Data Frames
• Handling missing data

Python Regular Expressions

• What are regular expressions?
• The match Function
• The search Function
• Matching vs searching
• Search and Replace
• Extended Regular Expressions
• Wildcard

Python Oracle Database Access

• Install the cx_Oracle and other Packages
• Create Database Connection
• CREATE, INSERT, READ, UPDATE and DELETE Operation
• DML and DDL Operation with Databases
• Performing Transactions
• Handling Database Errors
• Disconnecting Database

Regression based learning

• Simple regression
• Multiple regression
• Logistic regression
• Predicting house prices with regression

Clustering based learning

• Definition
• Types of clustering
• The k-means clustering algorithm

Data mining

• Introducing data mining
• Decision Tree
• Affiity Analysis
• Clustering

Introducing matplotlib

• Bar Charts
• Line Charts
• Scatter plots
• Bubble charts

Working with openCV

• Setting up opencv
• Loading and displaying images
• Applying image filters
• Tracking faces
• Face recognition

Learning Objective: The basic objective of this data science course is to learn How to calculate a simple linear regression step-by-step, How to perform all of the calculations using a spreadsheet, How to make predictions on new data using your model, A shortcut that greatly simplifies the calculation.

Simple linear regression

• Multiple regression
• Training and testing model

Introduction to Python

• Installation of Python framework and packages: Anaconda & pip Writing/
• Running python programs using Spyder Command Prompt Working with Jupyter
  Notebooks.
• Creating Python variables
• Numeric, string and logical operations
• Data containers: Lists, Dictionaries, Tuples & sets Practice assignment

Iterative Operations & Functions in Python

• Writing for loops in Python
• While loops and conditional blocks List/Dictionary comprehensions with loops
• Writing your own functions in Python Writing your own classes and functions

Data Handling in Python using NumPy & Pandas

• Introduction to NumPy arrays, functions & properties Introduction to Pandas &
  Data frames
• Importing and exporting external data in Python Feature engineering using
  Python

Data Science & Machine Learning in Python

• Converting business problems to data problems
• Understanding supervised and unsupervised learning with examples
• Understanding biases associated with any machine learning algorithm Ways of
• Reducing bias and increasing generalization capabilities Drivers of machine
• Learning algorithms
• Cost functions
• Brief introduction to gradient descent
• Importance of model validation
• Methods of model validation
• Cross validation & average error

Generalized Linear Models in Python

• Linear Regression
• Regularization of Generalized Linear Models
• Ridge and Lasso Regression
• Logistic Regression
• Methods of threshold determination and performance measures for Classification score models

Tree Models using Python

• Introduction to decision trees
• Tuning tree size with cross validation Introduction to bagging algorithm Random
  Forests
• Grid search and randomized grid search ExtraTrees (Extremely Randomised
  Trees) Partial dependence plots
• Support Vector Machines (SVM) & kNN in Python
• Introduction to idea of observation based learning Distances and similarities
  k Nearest Neighbors (kNN) for classification Brief mathematical background on
  SVM Regression with kNN & SVM

Unsupervised learning in Python

• Need for dimensionality reduction
• Principal Component Analysis (PCA) Difference between PCAs and Latent
• Factors Factor Analysis
• Hierarchical, K-means & DBSCAN Clustering

Text Mining in Python

• Gathering text data using web scraping with urllib
• Processing raw web data with BeautifulSoup
• Interacting with Google search using urllib with custom user agent collecting twitter data with
• Twitter API
• Naive Bayes Algorithm
• Feature Engineering with text data
• Sentiment analysis

“Our Data Science course equips you with the skills to extract meaningful insights from data, making informed decisions and driving business growth.” “Join our Data Science course to master statistical analysis, machine learning, and data visualization, preparing you for a rewarding career in data-driven industries.”

There are a few benchmarks that have been maintained by us. The course can be pursued by the candidates who are either SAS or SPSS professionals, software developers, business analysts, R professionals, Hadoop experts, statisticians, information architects or analysts.

Leading Data Science Training Institution in Pune

Learn From the Best

Our institution has been regarded as one of the best as they offer industry-standard courses for those who want to get the skills to work in the data science field. We help tech enthusiasts get fantastic in tableau, R programming, python, among other skills that they require to rise in the IT industry. Of course, there is no shortage of data science training courses as well as videos online. However, you need proper training that will help you land a job. This is why you should join us as we can help you sharpen your skills.

Best Teachers For You 

No amount of videos is going to if you do not get hands-on training. This knowledge is not enough practical training is also required. This is why we have educators who have years of experience working in the leading MNCs. With their guidance, you will be able to be the very best.

Join Us Today!

Go to our nearest hub and get yourself enrolled. We are going to start from the beginner level and then push you to become an advanced professional data scientist with our expert guidance. Some of the best minds in the industry, you will get hands-on training and ace any interview set your eyes for. Choose the best for yourself, and do not wait any longer.

Benefits of Data Science Training in Pune @Prwatech

• 100% Job Placement Assistance
• 24*7 Supports
• Support after completion of Course
• Mock tests
• Free Webinar Access
• Online Training for Data Science
• Interview Preparation
• Real Times Projects
• Course Completion Certificate
• Weekly Updates on Latest news about the technology via mailing System
• During various sessions, one can learn the use of different tools of this framework.

What Else We Do Provide

• Real-Time Project
• Video Recording
• Assignment
• Technical Notes
• Mock Test
• Online Test
• POC
• 100% Job Assistance

The faculties here are well learned and well experienced both regarding the data science and also in training up the candidates online. There are live sessions through which the candidates can be a part of the classroom even without attending them physically. Also, there are other prerecorded videos and links of the classroom so that you can have a look at them at your own convenient time. Not just attending classes, but you are also provided with the facility of clearing up doubts. You can contact the faculties through emails. Chat sessions or even at times over the phone.

We provide a Data Science Training with 100% placement Assurance to the candidates not just a basic knowledge of theory but also practical and professional training. So, there are some live projects and practical sessions available on the portal that can be helpful for the candidates to gain practical experience. There are also mock tests that can be helpful for the candidates to get prepared for the final test that they would appear in the certification.

Obtaining proficiency in data analysis, machine learning, and statistical modelling. empowering students to overcome difficult business challenges, succeed in data-related jobs across multiple industries, and make data-driven decisions.

Gaining knowledge of data science is advantageous as it enables individuals to utilise data to resolve intricate issues, make informed choices, and acquire profound comprehension. This skill is highly valued in a variety of industries and can result in fulfilling job prospects, growth, and innovation.

This course is suitable for anyone who wants to work in the data-driven industry, regardless of whether they are an analyst, data scientist, business professional, or career changer. There are many different backgrounds and interests among those who can pursue training in data science.

• IT professionals
• Business Analysts
• Data Analysts
• Warehouse managers
• Application Developers
• Job seekers in the IT industry
• Business operators

Data Scientist is a person who Usually analyses entire accumulated data from various sources, across various machines concerned with the subject or a product in order to provide suitable insights to his company. The growth of the company depends upon the strategically plans drawn Particularly by forecasting marketing changes depending upon the insights provided by their data science.

To summarize Dial Now 8147111254 for any queries regarding data science course fee & Job Assistance.

Our institution has been regarded as one of the best as they offer industry-standard courses for those who want to get the skills to work in the data science field. We help tech enthusiasts get fantastic in tableau, R programming, python, among other skills that they require to rise in the IT industry. Of course, there is no shortage of data science training courses as well as videos online. However, you need proper training that will help you land a job. This is why you should join us as we can help you sharpen your skills.

Best Trainers For Data Science Training in Bangalore.

No amount of videos is going to if you do not get hands-on training. This knowledge is not enough practical training is also required. This is why we have educators who have years of experience working in the leading MNCs. With their guidance, you will be able to be the very best.

Join Us Today!

Go to our nearest hub and get yourself enrolled. We are going to start from the beginner level and then push you to become an advanced professional data scientist with our expert guidance. Some of the best minds in the industry, you will get hands-on training and ace any interview set your eyes for. Choose the best for yourself, and do not wait any longer.

We’re India’s Leading and best python training institute in Bangalore, offers Courses with 100% Job assistance.

• Wi-Fi Class Rooms
• Get trained by the finest qualified professionals
• 100% practical training
• Flexible timings
• Real-Time Projects
• Resume Writing Preparation
• Mock Tests & interviews
• Access to Our Learning Management System Platform
• Access to 1000+ Online Video Tutorials
• Weekend and Weekdays batches
• Affordable Fees
• Complete course support
• Guidance till you reaches your goal.

We provide you the chance to work on practical projects where you can put the knowledge and abilities you learned in our training to use. Our numerous projects will put your abilities and understanding of different Hadoop components to the test, ensuring that you are fully prepared for the business. These projects could be in demanding and fascinating industries like high technology, banking, insurance, retail, social networking, and so on. Six months of appropriate work experience in a corporate setting is equivalent to the Prwatech projects.

You can open a ticket with our dedicated 24/7 help if you have any questions. We answer your questions and offer email help. If the email does not answer your question, we can even set up a one-on-one meeting with one of our trainers. The best thing is that you may still obtain support and help from Prwatech even after the training is over by contacting them. When it comes to doubt clearing and query resolution, there is also no cap on the quantity of queries you may pose.

Prwatech primarily provides online instructor-led training and self-paced training. In addition, we provide businesses corporate training. All of our trainers are subject matter experts who work as consultants and have over five years of expertise in the business with relevant technology. The sample videos that are offered will allow you to evaluate the calibre of our teachers.

Prwatech Offering 2 Types of training modes to the candidates, one can choose Wither classroom training or online classes depends on candidate flexibility.

Yes! We do provide the 100% Placement assistance as a part of our advanced data science training program once the candidate has done the course with us.

We tie-up with Flipkart, Capgemini, Syntel, Synchron, SunGard, HCl & Other Top MNC companies.

Due to the growing importance of data, The demand for a Data scientist is also rising. They are now becoming essential parts of products, trades, public agencies, and non-profit organizations.

Data science is gaining popularity in every industry and thus playing a significant role in the functioning and growth of any product. Therefore, the requirement of the data scientists is also increased as they have to perform an important task of handling data and delivering solutions for the specific problems.

With the help of Data Science, the companies will be able to recognize their client in a more improved and enhanced way. Clients are the foundation of any product and play an essential role in their success and failure. Data Science enables companies to connect with their customers in a modified manner and thus confirms the better quality and power of the product. One of the important features of Data Science is that its results can be applied to almost all types of industries such as travel, healthcare and education. With the help of Data Science, the industries can analyze their challenges easily and can also address them effectively.

Today, Data science has extensive ramifications in numerous fields, i.e., in theoretical and applied research areas such as machine interpretation, speech recognition, advanced economy and also in the fields like healthcare, social science, medical informatics. Data Science influences the growth and improvements of the product by providing a lot of intelligence about customers and operations, by using methods such as data mining and Data Analysis.

Data Science is one of the growing fields. It has become an important part of almost every sector. It provides the best solutions that help to fulfill the challenges of the ever-increasing demand and maintainable future. As the importance of data science is increasing day by day, the need for a data scientist is also growing. Data scientists are the future of the world.

Firstly you will need to polish your problem solving skills, If you are coming from a quantitative background, Data Science should be an easy transition. Before analyzing data with high-tech tools, you need to get to the foundation of data analysis. Try and connect with Data Scientist on LinkedIn. Share the projects that you have worked on , It will be very beneficial.

You can also discover what kind of company you’d like to work for (size, industry, culture), what projects appeal to you, and how to prepare for the job application process, Most Importantly learn two or more programming skills.

Data science is a highly interdisciplinary field, and most likely not all prior knowledge will be lost. Data scientists need to be able to connect their models to direct business impact. Although you should definitely focus on your data science experience in your resume and cover letter.

Before you even think about applying for jobs, of course, you need to be sure you’ve got the skill set employers are looking for. And thankfully, there are lot of resources in our website that you can refer to know more about Data Science.

Having the right skills is important but skills alone are never going to get you a job unless potential employers can see what you’re doing. “If you really want to stand out” Build your portfolio, GitHub, Blog, Kaggle profile, or all of these that showcase your interest, passion, and proficiency in data science.”

Of course, There are definitely some advantages that come along with a Data Science certification. It reflects your interest and passion in the field of data science but there’s a caveat – due to the boom of data science, there has been a massive uptake of these courses which makes them common or general.

If you want to stand out, You will need to take up a course that provides you with Industry exposure, Real-Time, High-Quality projects. We have resources in our website for you to go through it. A certification is a standard to measure a great skill set.

In simple words, certifications definitely matter but not because of the certificate itself but because of the skills you have gained as part of the certification.
Recruiters receive a lot of applications and they focus on the skillsets and projects completed.
In the end, During the interview process. The interviewer will test everything that you have mentioned in your skillset. Therefore, if you choose to go ahead with a data science certification, make sure that you keep up with your classes and gain the right skills. Certification can just arrange the Interview but it won’t get you the job, skills will.
ALL THE BEST!

For better comprehension, Data Science is the processing and analysis of data that you generate for various insights that will serve a business purposes. It is an evolutionary extension of statistics capable of dealing with the massive amounts of with the help of computer science technologies.
Data scientists use a combination of tools, applications, principles and algorithms to make sense of random data clusters. Since almost all kinds of organizations today are generating exponential amounts of data around the world, it becomes difficult to monitor and store this data. Data science focuses on data modeling and data warehousing to track the ever-growing data set. The information extracted through data science applications are used to guide business processes and reach organizational goals.
Data science uses a wide array of data-oriented technologies including SQL, Python, R, and Hadoop, etc.
However, it also makes extensive use of statistical analysis, data visualization, distributed architecture, and more to extract meaning out of sets of data.
They can also work with machine learning equally In fact, data scientists need machine learning skills for specific requirements like:
Machine Learning for Predictive Reporting: Data scientists use machine learning algorithms to study transactional data to make valuable predictions. Also known as supervised learning, this model can be implemented to suggest the most effective courses of action for any company.

Machine Learning for Pattern Discovery: Pattern discovery is important for businesses to set parameters in various data reports and the way to do that is through machine learning. This is basically unsupervised learning where there are no pre-decided parameters. The most popular algorithm used for pattern discovery is Clustering.

Machine learning enables a computer system to make predictions or take some decisions using historical data without being explicitly programmed. Machine learning uses a massive amount of structured and semi-structured data so that a machine learning model can generate accurate result or give predictions based on that data.
Machine learning works on algorithm which is followed by its own using historical data. It works only for specific domains such as if we are creating a machine learning model to detect pictures of pets, it will only give result for pets images, Any inaccurate data will not be responsive. Machine learning is being used in various places such as for online recommendation system, for Google search algorithms, YouTube suggestions, Facebook tagging suggestion, etc.
It can be divided as follows:
o Supervised learning
o Reinforcement learning
o Unsupervised learning