What are the learning benefits?
The benefits include weekly assignments, mock exams, module wise projects and case studies, specially formulated study material along with complete career guidance and placement support.
- Code quick solutions
- Integrate with Complex Data systems
- Gain powerful algorithm thinking skills which enable them to arrive at solutions
- Gain dexterity in collecting user data in order to perform accurate Data analysis
- Make data-driven decisions efficiently and promptly
- Clearly comprehend the basic features of Data Science and Data Analytics
- Gain extensive knowledge of Probability and Statistics
- Analyze and understand complex and raw data sets in order to gain meaningful insights by using important methodologies such as Exploratory Data Analysis and Data Visualization
- Employ Big Data tools in order to acquire skills for Enterprise Information Management and learn techniques to resolve multiple real-time business problems
- Learn key technologies such as Python, and the application of its advanced techniques.
What is Data Science?
Data science is a combination of data inference, algorithm development, and technology that helps to solve complex data problems. Data science helps to explore the data insights at the granular level to analyze various trends and patterns and helps the organization make smarter decisions for overall development. Every Job sector and big companies are constantly on the lookout for experts that can help them discover new learnings and findings through their data. Data science is a detailed study of the flow of information from huge amounts of raw data. It involves obtaining meaningful insights from raw and unstructured data, which is processed through analytical, programming, and business skills.
As Data Science is multidisciplinary, it deals with Mathematics, Statistics, Statistical Modeling, Signal Processing, Computer Science & Programming, Database Technologies, Data Modeling, Machine Learning, Natural Language Processing, Predictive Analytics, Visualization, and so on. Data Science is a vast domain covering sections like Big Data, Analytics and Visualizations, Data Wrangling and Mining, Database Management, Machine Learning, and Deep Learning.
Who is a Data Scientist?
Data scientists are analytical data experts equipped with a diverse and wide-ranging skillset, balancing knowledge in different computer programming languages with advanced experience in data mining and visualization. They uncover effective solutions to complex business challenges.
What is the difference between Data Analyst and Data Scientist?
Data Analyst usually explains what is going on by processing history of the data. On the other hand, Data Scientist not only does the exploratory analysis to discover insights from it but also uses various advanced machine learning algorithms to identify the occurrence of a particular event in the future.
Who should join the Data Science certification?
Working as a Data Scientist requires adequate experience as well as complete knowledge of data science and tools and techniques. Candidates must possess a graduate degree in any field and a bachelor’s degree in Computer science, Statistics and Mathematics is an added advantage to opt for this training program. Moving on, this course is most suited to:
- Business Analysts
- IT Professionals
- Analytics Managers
- Marketing Managers
- Banking and Finance Professionals
- Supply Chain Network Managers
Data Science Course Syllabus
The data science course focuses on learning practical techniques and using various tools to work on large scale data. Data Science training program entails complete knowledge on the following subjects:
Machine Learning with Python:
- Introduction to Python Programming Language
- Data handling in Python
- More data handling using Python
- Additional functions of Python
- Statistic
- Linear Regression
- Logistic Regression
- Time Series Forecasting
- Cluster Analysis
- Decision Tree and Random Forest
R Programming:
- Introduction to R Programming Language
- Data handling in R
- Additional functions of R
Tableau Analytics:
- Tableau Introduction
- Data connection to Tableau
- Calculated fields, hierarchy, parameters, sets, groups in Tableau
- Various visualizations Techniques in Tableau
- Map based visualization using Tableau
- Reference Lines
- Adding Totals, sub totals, Captions
- Advanced Formatting Options
- Using Combined Field
- Show Filter & Use various filter options
- Data Sorting
- Create Combined Field
- Table Calculations
- Creating Tableau Dashboard
- Action Filters
- Creating Story using Tableau
R Integration in Tableau:
- Integrating R code with Tableau
- Creating statistical model with dynamic inputs
- Visualizing R output in Tableau
OFFERED DATA SCIENCE COURSES IN Ahmedabad:
- Data science Foundation Course
- Certified Data Scientist Course
- Statistics for Data Science
- Data Science with R Programming Course
- Diploma in Data Science
Are data science certifications worth it?
The answer is yes, of course it is worth it. But the certificate value depends upon how reputed the institute is. Which certification is best for data science? List of Top 3 Data Science Certifications for Data Scientists
- Name: Microsoft Certified: Azure Data Scientist Associate
Description: The Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service.
Credential Category: Associate Certification
Required Exam: DP-100: Designing and Implementing a Data Science Solution on Azure
Credential Award: Microsoft Certified: Azure Data Scientist Associate
Occupation: Data Scientist Accreditation
Recognized by: Microsoft
Prerequisites: For data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.
Cost: INR 4800 INR*
Expiration Date: Credentials do not expire
Mode of Training: Online - Free Instructor-led - Paid
- Name: Dell EMC Proven Professional Certification Program
Credential Category: Associate level, Specialist level
Description:
1. Associate level - This certification enables the learner to immediately participate in big data and other analytics projects. Also validates the practical foundation skills required by a Data Scientist.
2. Specialist level - The main growth areas include advanced analytical methods, Hadoop (and Pig, Hive, HBase), Social Network Analysis, Natural Language Processing, and Visualization methods
Required Exam:
1. DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Exam
2. E20-065 Specialist - Data Scientist, Advanced Analytics Version 1.0?(DCS-DS)
Credential Award:
Associate level - Data Scientist Associate v2 (DCA-DS) Certification
Specialist level - Data Scientist, Advanced Analytics Version 1.0?(DCS-DS)
Occupation: Data Scientist Accreditation
Recognized by: Dell Technologies
Prerequisites: Dell recommends a set of curriculum for candidates to learn and also offer free practice tests to get qualified for attending certification.
Exam Duration: 90 Minutes, (60 Questions), Pass Score: 60
Cost: $200*
Expiration Date: Credentials do not expire Mode of Training: In-person or online via Pearson VUE
- Name: SAS Certified Data Scientist
Credential Category: Professional level
Description: This course covers programming skills, managing and improving data, transforming, accessing and manipulating data. Also SAS topics for data curation techniques, including big data preparation with Hadoop.
Required Exam: Data Curation for SAS Data Scientists
Credential Award: Data Curation Professional
Occupation: Data Scientist Accreditation
Recognized by: SAS
Prerequisites: Candidates should have taken the recommended training or have equivalent experience. 2-3 months of hands-on experience using SAS Data Management Tools and applications and third-party data tools (Hadoop, HIVE/HIVEQS, PIG/PIGLATIN.
Exam Duration: 110 minutes, Pass Score: 67%
Cost: Self-Paced e-Learning: INR 75,000/year + GST
Expiration Date: Credentials do not expire
Mode of Training:
1. Instructor-Led Training
2. Self-Paced e-Learning
Data Science Job Opportunities
Qualified data scientists have constant demand in every job sector. Data scientists not only undertake business analytics roles but are equally responsible for building data products, software platforms, machine learning algorithms, etc. Approximate list of Data science job salary structure
Data Science Training Formats
- Live Online Data Scientist Course in Ahmedabad
Live online data science coaching in Ahmedabad lets you experience the same instructor-led training as at the education center from the convenience of your home, work, or anywhere. If you are choosing data science online training, you can attend the sessions in the Ahmedabad from home or office or anywhere while traveling. You can communicate easily with the instructor and classmates to ask quantitative, qualitative, clustering, mean, median, mode, correlation, descriptive, decision tree, (linear, logistic) regression, Bayes, random forest, distribution, supervised, unsupervised, etc. questions for answers and clarification. If you have missed attending the classes, you can refer to the data science classes in Ahmedabad through recorded videos. Online training will save you money and time. Also, the instructor is connected online to see your class works, exercises and data science projects for discussions to offer the best solutions.
- Data Science Classroom Training in Ahmedabad
In-Class training is a traditional concept where you walk into the data science institute in Ahmedabad and attend the data science course in the classroom. There are many data science training institutes in Ahmedabad across all locations to provide face to face live instructor-led data science coaching in Ahmedabad, hand to hand learning experience. Also, you can get your doubts clarified through training experts in-person motivations. Classroom data science training can leverage your confidence in data science skills and acquire new knowledge through data analysis tools and expertise by actively engaging in real-life scenarios. For an in-class data science certification course in Ahmedabad, you need to save a seat for attending trainers live classes across Ahmedabad city locations.
- Data Science Training & Placement Ahmedabad
Data Science Training & Placement in Ahmedabad experience take care of building your data science skills in real-time solutions. You will engage with high-quality training that you can expect from an On-Site Course. Data Science Course in Ahmedabad with Placement providers has collaborated with their clients to train students for specific skills to meet their organization requirements. Also, some of the data science training institutes in Ahmedabad will help the students to prepare resumes and market their skills to get hired soon as a data scientist role. These training and placement companies in the Ahmedabad provides students with practical, hands-on experience that can immediately be applied at their data scientist job. Also, they will train the students with hands-on and collaboration workshops, real-world scenarios tailored to specific challenges that are faced by their clients.
- Data Science Free Training
Data Science free training is one of the options that are provided by the data science institute in Ahmedabad while joining the course. Data science is an on-demand course delivered to the students under contract and will help you hone your skills in a safe, hassle-free environment in data science topic areas. All training providers do not provide data Science free course, it is explained that a student who joins the course should sign the contract that he/she will pay or compensate the data science course fees in Ahmedabad by working to their clients for a specified duration.
