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Data Science Course in Pune (85 Courses, 67+ Projects)
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Python Data Scientist Courses (18 Courses)
Python Data Scientist Projects (6 Projects)
R Programming Data Scientist Courses (12 Courses)
R Programming Data Scientist Projects (11 Projects)
SAS Data Scientist Courses (9 Courses)
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What you get in this Data Science Course in Pune?
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About Data Science Course in Pune
|Course||No. of Hours|
|Machine Learning with Python 2022||5h 31m|
|Project on Machine Learning - Covid19 Mask Detector||2h 1m|
|Machine Learning Project - Auto Image Captioning for Social Media||2h 27m|
|Machine Learning with SciKit-Learn in Python||8h 15m|
|Machine Learning Python Case Study - Predictive Modeling||7h 1m|
|Matplotlib for Python Developers - Beginners||4h 24m|
|Matplotlib for Python Developers - Intermediate||2h 55m|
|Matplotlib for Python Developers - Advanced||5h 12m|
|Pandas with Python Tutorial||5h 6m|
|NumPy and Pandas Python||5h 07m|
|Pandas Python Case Study - Data Management for Retail Dataset||3h 35m|
|Python Case Study - Sentiment Analysis||1h 08m|
|Data Science with Python||4h 22m|
|Artificial Intelligence with Python - Beginner Level||2h 55m|
|Artificial Intelligence with Python - Intermediate Level||4h 43m|
|AI Artificial Intelligence with Python||6h 36m|
|Video Analytics using OpenCV and Python Shells||2h 21m|
|Machine Learning using Python||3h 32m|
|Statistics Essentials with Python||3h 26m|
|Project on Tensorflow - Implementing Linear Model with Python||1h 49m|
|Project - Data Analytics with Data Exploration Case Study||5h 19m|
|Project on ML - Random Forest Algorithm||1h 31m|
|Seaborn Python - Beginners||2h 32m|
|Seaborn Python - Intermediate||1h 22m|
|Seaborn Python - Advanced||1h 58m|
|PySpark Python - Beginners||2h 33m|
|PySpark Python - Intermediate||2h 1m|
|PySpark Python - Advanced||0m|
|Machine Learning Python Case Study - Diabetes Prediction||1h 05m|
|R Studio UI and R Script Basics||4h 14m|
|R Programming for Data Science | A Complete Courses to Learn||6h 22m|
|R Practical - Logistic Regression with R||4h 18m|
|Project - Decision Tree Modeling using R||1h 44m|
|Project on ML - Churn Prediction Model using R Studio||1h 25m|
|Financial Analytics in R - Beginners||3h 53m|
|Financial Analytics in R - Intermediate||1h 31m|
|Financial Analytics in R - Advanced||1h 4m|
|R for Finance - Beginners to Beyond||2h 18m|
|Comprehensive Course on R||4h 1m|
|Project on R - Forecasting using R||4h 47m|
|Project - Fraud Analytics using R & Microsoft Excel||2h 37m|
|Project - Marketing Analytics using R and Microsoft Excel||3h 32m|
|Machine Learning with R||20h 21m|
|Case Study - Customer Analytics using Tableau and R||2h 11m|
|Case Study - Pricing Analytics using Tableau and R||2h 02m|
|Business Analytics using R - Hands-on!||16h 11m|
|Project - Market Basket Analysis in R||39m|
|Project - Hypothesis Testing using R||3h 11m|
|Data Visualization with R Shiny - The Fundamentals||44m|
|Data Science with R||6h 15m|
|R Studio Anova Techniques Course||2h 18m|
|SAS Business Analytics for Beginners||10h 59m|
|Predictive Modeling with SAS Enterprise Miner||9h 35m|
|Quantitative Finance with SAS||3h 32m|
|SAS Statistics||8h 33m|
|SAS ODS (Output Delivery System)||9h 09m|
|SAS PROC SQL||14h 14m|
|SAS Macros||7h 38m|
|SAS Advanced Analytics||12h 34m|
|SAS Graph||2h 12m|
|SAS DS2||5h 2m|
|SAS SQL||3h 03m|
|SAS Practical - Macros||5h 12m|
|SAS Advanced Programming||11h 28m|
|SAS Categorical Data Analysis||7h 26m|
|Certified SAS Base Programmer||12h 48m|
|SAS Features for Starters||1h 54m|
|SAS PROC SQL Features||1h 53m|
|Big Data and Hadoop Training | Online Hadoop Course||2h 5m|
|Hadoop Architecture and HDFS||6h 24m|
|MapReduce - Beginners||3h 39m|
|MapReduce - Advanced||5h 01m|
|Hive - Beginners||2h 55m|
|Hive - Advanced||5h 16m|
|PIG - Beginners||2h 15m|
|PIG - Advanced||2h 14m|
|NoSQL Fundamentals||2h 04m|
|Apache Oozie||2h 18m|
|Apache Storm||2h 7m|
|Apache Spark - Beginners||1h 52m|
|Apache Spark - Advanced||5h 27m|
|Splunk Fundamentals||8h 44m|
|Splunk Advanced 01 - Knowledge Objects||9h 46m|
|Splunk Advanced 02 - Administration||37h 54m|
|Project on Hadoop - Sales Data Analysis||47m|
|Project on Hadoop - Tourism Survey Analysis||55m|
|Project on Hadoop - Faculty Data Management||35m|
|Project on Hadoop - E-Commerce Sales Analysis||36m|
|Project on Hadoop - Salary Analysis||49m|
|Project on Hadoop - Health Survey Analysis using HDFS||57m|
|Project on Hadoop - Traffic Violation Analysis||1h 28m|
|Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce||2h 38m|
|Project on Hadoop - Case Study on Telecom Industry using HIVE||2h 4m|
|Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce||53m|
|Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop||3h 37m|
|Project on Hadoop - Sensor Data Analysis using HIVE/PIG||4h 31m|
|Project on Hadoop - Youtube Data Analysis using PIG/MapReduce||3h 07m|
|Hadoop and HDFS Fundamentals on Cloudera||1h 26m|
|Project on Hadoop - Log Data Analysis||1h 33m|
|SPSS 2022 - Beginners||1h 07m|
|SPSS 2022 - Advanced||5h 28m|
|Advanced SPSS Project: Impact of EMI on Home Loan||43m|
|Advanced SPSS Project: Impact of Total Turnover in Equity Market||59m|
|Advanced SPSS Project: Impact of Trade Data in Equity Market||46m|
|SPSS GUI and Applications||1h 16m|
|SPSS - Correlation Techniques||2h 25m|
|SPSS - Linear Regression Modeling||3h 16m|
|SPSS - Multiple Regression Modeling||2h 35m|
|SPSS - Logistic Regression||2h 04m|
|SPSS - Multinomial Regression||2h 2m|
|SPSS GUI for Statistical Analysis||2h 08m|
|Tableau Desktop Training 2022||4h 25m|
|Tableau Project-Creating Dashboard and Stories For Financial Markets||2h 12m|
|Tableau Project - Russo-Ukraine War A Data Analytical Review||1h 03m|
|BI Tools and Tableau Analytics||5h 48m|
|Business Intelligence with Tableau||5h 5m|
|Tableau Features Hands-on!||5h 47m|
|Tableau Practical - Super Store Business Requirements||46m|
|Analytics using Tableau||9h 03m|
|Minitab for Beginners - 2022||1h 12m|
|Advanced Minitab Training - 2022||4h 06m|
|Minitab Practical - Impact of Predictors on Response||1h 38m|
|Statistical Analysis using Minitab - Beginners to Beyond||4h 29m|
|Minitab GUI and Descriptive Statistics||2h 48m|
|ANOVA in Minitab||53m|
|Correlation Techniques in Minitab||2h 21m|
|Project on Minitab - Regression Modeling||9h 54m|
|Minitab Predictive Modeling using Excel||56m|
|MATLAB - Beginners||2h 7m|
|MATLAB - Intermediate||47m|
|MATLAB - Advanced||4h 9m|
|Oracle SQL||18h 6m|
|Oracle PLSQL||13h 21m|
|Oracle DATABASE Admin DBA 1 Course||9h 45m|
|Machine Learning with Tensorflow||13h 18m|
|Hands-on Deep Learning Training||11h 34m|
|Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression||2h 08m|
|Project on R - HR Attrition and Analytics||2h 43m|
|Logistic Regression using SAS Stat||0m|
|Linear Regression in Python||2h 31m|
|Python Data Science Case Study - Predicting Survival of Titanic Passengers||1h 51m|
|Project on R - Card Purchase Prediction||2h 31m|
|Machine Learning Python Case Study - Develop Movie Recommendation Engine||52m|
|R Practical - Employee Attrition Prediction using Random Forest Technique and R||2h 2m|
|Project on Term Deposit Prediction using Logistic Regression CART Algorithm||1h 42m|
|Poisson Regression with SAS Stat||2h 26m|
|Machine Learning Project using Caret in R||1h 6m|
|Time Series Analysis in Python - Sales Forecasting||2h 18m|
|Course Name||Online Data Science Course in Pune|
|Deal||You get access to all videos for the lifetime|
|Hours||660+ Video Hours|
|Core Coverage||You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.|
|Course Validity||Lifetime Access|
|Eligibility||Anyone serious about learning data science and wants to make a career in analytics|
|Pre-Requisites||Basic knowledge of data and analytics|
|What do you get?||Certificate of Completion for the course|
|Certification Type||Course Completion Certificates|
|Verifiable Certificates?||Yes, you get verifiable certificates for each85 course, 67 Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills|
|Type of Training||Video Course – Self Paced Learning|
|System Requirement||1 GB RAM or higher|
|Other Requirement||Speaker / Headphone|
Data Science Course in Pune Curriculum
There is an abundant and unending list of topics one can learn from this Data Science Course in Pune. One can begin with:
- Python programming and R programming and use its libraries which are used in Natural Language Processing, modeling, and statistical returns.
- Data visualization is an important skill where data is studied and various methods have made data visualization efficient. By using Matplotlib, NumPy, Tableau, BI Tools, Seaborn, Pandas from a beginner to an advanced level. Projects on the libraries are also given so that one understands the real-world scenario.
- Artificial Intelligence, Machine Learning, and Analytics are important from a Data Scientists’s perspective. There are even algorithms on Machine Learning Algorithm like Random Forest Classifier and more. The curriculum involves working with Tensor Flow, Linear Regression, Logistic Regression, Predictive Modelling, SPSS GUI, and several other Applications.
Oracle SQL, PSQL, Advanced level MATLAB, PySpark, R language, SAS, Financial Analytics, Hadoop Framework including Hive, Pig, Apache Spark, etc.
The learning is intense and it can transform a beginner into an expert at Data Science. The intermediate levels of these learning providing ample exercises at drawing insights from a dataset. Also, interesting analysis is involved like sentiment analysis, fraud analytics, marketing analytics, social media analysis, using Pig/hive/MapReduce/scoop, YouTube analysis using Pig/MapReduce, Sensor Data Analysis using Hive/Pig, Customer complaint analysis using Hive/MapReduce, Analyzation of Loan Dataset using Pig/MapReduce, using Hive for conducting a case study on Telecom Industry, etc.
These Data Science courses in Pune and its modules will help one at being a certified IT professional in the above-mentioned domains which are required if one wants to become a Data Scientist.
Data Scientist Course – Certificate of Completion
What is Data Science?
For every internet minute, there is a huge amount of data uploaded and surfed. We are dealing with petabytes of data here, which is coming into existence with the passage of every minute. There is a big data explosion in today’s’ era and to make proper use of this data insight has to be formed. Data Science helps one to gain that insight at mining the information needed.
In the business scenario, every business person is the world is intimated while answering analysis related complexity to its customers. Therefore, every business is evaluating Data Science opportunities to help overcome the complex analysis. It has become a priority for top companies to adopt better strategies for the future of the company.
Industry Growth TrendThe overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.
[Source - MarketsandMarkets]
[Source - Indeed]
Which Skills will you learn in this Course?
A lot of basic mathematics and statistics are brushed up in this Data Science Course in Pune. Programming languages like R, SAS, and Python have to be a handy skill when one decides to be in this domain. At the same time, one becomes familiar with several machine learning tools which helps in the data visualization and also with the generation of the reports. Risk Analysis and effective communication is also an important aspect that one needs to be good at. Data Mining, Data cleaning, and Data Munging is also an important skill the data science course embeds in a candidate along with other software engineering skills.
- It is to be understood that the job of a Data Scientist is varied and it is not necessary that everyone needs to be a top-notch person at mathematics, data visualization, statistics, and programming or must have obtained a quantitative degree in Data Science.
- One needs to be conceptual wise efficient at Maths, Linear Algebra, Probability, Calculus, and Statistics.
- One should be able to write efficient codes so that a good analysis is done over massive datasets. Basic concepts of C++/Java with working knowledge of Object-Oriented Concepts are required for writing codes in R and Python.
- Writing SQL scripts for fetching and mining data will be a daily task for a data scientist. Therefore, writing basic SQL queries along with some complexity involved should be one of the skillsets of a Data Scientist.
- Knowing Hadoop acts as a plus point for a person stepping into the Data Science field but then again it is not mandatory as a skill. Many companies use Hadoop as a service and it may be at their discretion to use or not use Hadoop.
- Data Science can be an ideal career path for experienced as well as a fresher, above all for anyone interested enough to put in the effort required for the extensive study ahead.
Architects, Software Developers, Analysts, Managers, and even for Data Scientists who want an in-depth knowledge of machine learning. Any IT professionals can take up this Data Science Course in Pune even from the marketing domain and Sales domain. It can be a smart career transition and a better switch with a great package to take home.
In short, anyone who finds equations, analyzing, visualizing data and artificial intelligence interesting should take up this Data Science Course in Pune.
Data Science Course in Pune – FAQ’s
Data Science or Big Data?
Big Data is mainly concerned with data processing or handling and analyzing voluminous data present all around. Whereas, Data Science helps us at giving meaningful insights from raw data using advanced tools and algorithm via data cleansing and pre-processing of data.
Which programming language is necessary for Data Science?
R programming language which is open source is used and serves as the statistical analysis language. It has an extensive package repository and it is gaining huge popularity of late.
What is the roadmap of a Data Scientist?
There is no specific pathway but one should love the data and should be able to communicate insights from data. MOOC’s provide all the information needed, it should be followed religiously.
Why Data Scientist Course in Pune?
Pune is a budding IT hub and it has got several institutes that provide real-time and practical training for the course of Data Science. There is a proper project-based approach followed in this course.
The Data Science Course in Pune curriculum provided by the institute is very strong and properly aligned to the career path of a Data Scientists. We hire industry experts to conduct training. Our learning management systems are efficient enough to get the student’s places once their course is completed.
How is the Data Science Market Trend for Pune?
Every organization generates data daily and that accumulates over time into a huge amount of data. Pune has companies from the banking sector, financial sector, insurance, health and science, defense, travel, social media, retail, etc. There is a great requirement of people who can manage the data and help at retrieving necessary information by applying analytics.
There is a huge requirement of people with the following job roles of Business Intelligence Analyst, Data Architect, Data Mining Engineer, Senior Data Scientists, etc.
There is an estimation made that $3.03 billion is the requirement for the analytic industry and it is expected to double up by the year 2025.
Seaborn-Statistical Data Visualization06.51
Creating Pie Charts06.03
Decision Tree Classifier06.57
- There are a lot of perks one can think of after getting trained by this Data Science Course in Pune
- Feather on your Hat: As Harvard Business Review has already named it as the ‘Sexiest Job’ of the century, it cannot be considered something less than a laurel for an IT professional.
- Freedom to choose the work field: As you are not entitled to a particular company but your work will be related to the most sort after technology. You will have the freedom to choose amongst the field of your interest.
- Working with Brands: All the big names like Apple, Uber, Amazon are making use of Data Science techniques hence one will be fortunate to become a part of these brands.
- Great Salary: Anyone would love to have a respectable hike in their salary and the job of Data Scientists does justice to that.
- Safe Career: Data Science is growing day by day and the demand is increasing as we have more companies making use of Data Science to accelerate business growth.
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